Back to Multiple platform build/check report for BioC 3.22:   simplified   long
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This page was generated on 2025-11-11 12:03 -0500 (Tue, 11 Nov 2025).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 24.04.3 LTS)x86_644.5.1 Patched (2025-08-23 r88802) -- "Great Square Root" 4902
kjohnson3macOS 13.7.7 Venturaarm644.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" 4638
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Package 460/2361HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
COTAN 2.10.0  (landing page)
Galfrè Silvia Giulia
Snapshot Date: 2025-11-10 13:45 -0500 (Mon, 10 Nov 2025)
git_url: https://git.bioconductor.org/packages/COTAN
git_branch: RELEASE_3_22
git_last_commit: 9b1bfa0
git_last_commit_date: 2025-10-29 11:14:37 -0500 (Wed, 29 Oct 2025)
nebbiolo2Linux (Ubuntu 24.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
kjohnson3macOS 13.7.7 Ventura / arm64  OK    OK    OK    OK  UNNEEDED, same version is already published


CHECK results for COTAN on kjohnson3

To the developers/maintainers of the COTAN package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/COTAN.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results


Summary

Package: COTAN
Version: 2.10.0
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:COTAN.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings COTAN_2.10.0.tar.gz
StartedAt: 2025-11-10 19:26:22 -0500 (Mon, 10 Nov 2025)
EndedAt: 2025-11-10 19:35:40 -0500 (Mon, 10 Nov 2025)
EllapsedTime: 558.5 seconds
RetCode: 0
Status:   OK  
CheckDir: COTAN.Rcheck
Warnings: 0

Command output

##############################################################################
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###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:COTAN.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings COTAN_2.10.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/COTAN.Rcheck’
* using R version 4.5.1 Patched (2025-09-10 r88807)
* using platform: aarch64-apple-darwin20
* R was compiled by
    Apple clang version 16.0.0 (clang-1600.0.26.6)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Ventura 13.7.7
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘COTAN/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘COTAN’ version ‘2.10.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 26 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable.  Move as many as possible to Suggests and
use conditionally.
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘COTAN’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                          user system elapsed
UniformClusters         31.996  0.290  32.419
CalculatingCOEX         24.724  0.368  25.354
HandlingClusterizations 18.697  0.203  19.017
HeatmapPlots            14.553  0.396  15.011
ParametersEstimations    9.900  0.338  10.384
GenesStatistics          5.034  0.059   5.091
COTAN_ObjectCreation     4.987  0.090   5.159
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘outputTestDatasetCreation.R’
  Running ‘spelling.R’
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: OK


Installation output

COTAN.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL COTAN
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/library’
* installing *source* package ‘COTAN’ ...
** this is package ‘COTAN’ version ‘2.10.0’
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (COTAN)

Tests output

COTAN.Rcheck/tests/outputTestDatasetCreation.Rout


R version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 
> # Creates the files to be reloaded by the tests for comparisons
> 
> outputTestDatasetCreation <-
+   function(testsDir = file.path("tests", "testthat")) {
+   utils::data("test.dataset", package = "COTAN")
+   options(parallelly.fork.enable = TRUE)
+   setLoggingLevel(3L)
+ 
+   obj <- COTAN(raw = test.dataset)
+   obj <- initializeMetaDataset(objCOTAN = obj, GEO = " ",
+                                sequencingMethod = "artificial",
+                                sampleCondition = "test")
+ 
+   obj <- proceedToCoex(objCOTAN = obj, cores = 6L, saveObj = FALSE)
+ 
+   if (FALSE) {
+     saveRDS(obj, file = file.path(testsDir,"test.COTAN.RDS"))
+   }
+ 
+   cells.names.test <-
+     getCells(objCOTAN = obj)[c(1L:10L, 591L:610L, 991L:1000L)]
+   genes.names.test <-
+     getGenes(objCOTAN = obj)[c(131L:140L, 291L:310L, 591L: 600L)]
+   saveRDS(cells.names.test, file.path(testsDir, "cells.names.test.RDS"))
+   saveRDS(genes.names.test, file.path(testsDir, "genes.names.test.RDS"))
+ 
+   pcaRaw <- runPCA(x = getRawData(objCOTAN = obj), rank = 10L,
+                    BSPARAM = IrlbaParam(), get.rotation = FALSE)[["x"]]
+ 
+   pca.raw.test <- pcaRaw[genes.names.test, ]
+   saveRDS(pca.raw.test, file.path(testsDir, "pca.raw.test.RDS"))
+ 
+   dispersion.test <- getDispersion(objCOTAN = obj)[genes.names.test]
+   saveRDS(dispersion.test, file.path(testsDir, "dispersion.test.RDS"))
+ 
+   raw.norm.test <-
+     getNuNormData(objCOTAN = obj)[genes.names.test, cells.names.test]
+   saveRDS(raw.norm.test, file.path(testsDir, "raw.norm.test.RDS"))
+ 
+   coex.test <-
+     getGenesCoex(objCOTAN = obj, genes = genes.names.test, zeroDiagonal = FALSE)
+   saveRDS(coex.test, file.path(testsDir, "coex.test.RDS"))
+ 
+   lambda.test <- getLambda(objCOTAN = obj)[genes.names.test]
+   saveRDS(lambda.test, file.path(testsDir, "lambda.test.RDS"))
+ 
+   GDI.test <- calculateGDI(objCOTAN = obj)
+   GDI.test <- GDI.test[genes.names.test, ]
+   saveRDS(GDI.test, file.path(testsDir, "GDI.test.RDS"))
+ 
+   nu.test <- getNu(objCOTAN = obj)[cells.names.test]
+   saveRDS(nu.test, file.path(testsDir, "nu.test.RDS"))
+ 
+   pvalues.test <- calculatePValue(objCOTAN = obj,
+                                   geneSubsetCol = genes.names.test,
+                                   geneSubsetRow = genes.names.test)
+   saveRDS(pvalues.test, file.path(testsDir, "pvalues.test.RDS"))
+ 
+   groupMarkers <- list(G1 = c("g-000010", "g-000020", "g-000138"),
+                        G2 = c("g-000300", "g-000330", "g-000660"),
+                        G3 = c("g-000510", "g-000530", "g-000550",
+                               "g-000570", "g-000590"))
+ 
+   gcsData <- genesCoexSpace(objCOTAN = obj,
+                             primaryMarkers = unlist(groupMarkers),
+                             numGenesPerMarker = 11L)
+ 
+   genes.coex.space.test <- gcsData[["GCS"]]
+   saveRDS(genes.coex.space.test,
+           file.path(testsDir, "genes.coex.space.test.RDS"))
+ 
+   genesClustersData <-
+     establishGenesClusters(objCOTAN = obj,
+                            groupMarkers = groupMarkers,
+                            numGenesPerMarker = 11L,
+                            kCuts = 6L, distance = "cosine",
+                            hclustMethod = "ward.D2")
+ 
+   pca.genes.clusters.test <- genesClustersData[["pca_clusters"]]
+   saveRDS(pca.genes.clusters.test,
+           file.path(testsDir, "pca.genes.clusters.test.RDS"))
+ 
+   # Make it a less strict check as it is only for testing
+   checker <- new("AdvancedGDIUniformityCheck")
+   checker <- shiftCheckerThresholds(checker, 0.1)
+ 
+   initialResolution <- 1.3
+   splitData <- cellsUniformClustering(objCOTAN = obj,
+                                       checker = checker,
+                                       initialResolution = initialResolution,
+                                       useCoexEigen = TRUE,
+                                       dataMethod = "LL",
+                                       numReducedComp = 50L,
+                                       cores = 6L, optimizeForSpeed = TRUE,
+                                       deviceStr = "cuda", saveObj = FALSE)
+ 
+   split.clusters.test <- splitData[["clusters"]]
+   saveRDS(split.clusters.test,
+           file = file.path(testsDir, "split.clusters.test.RDS"))
+ 
+   test.dataset.clusters1 <- split.clusters.test
+   save(test.dataset.clusters1, compress = TRUE,
+        file = file.path("data", "test.dataset.clusters1.rda"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "split",
+                            clusters = splitData[["clusters"]],
+                            coexDF = splitData[["coex"]])
+ 
+   coex.clusters.test <- splitData[["coex"]][genes.names.test, ]
+   saveRDS(coex.clusters.test, file.path(testsDir, "coex.clusters.test.RDS"))
+ 
+   pvalDF <- pValueFromDEA(splitData[["coex"]],
+                           getNumCells(objCOTAN = obj),
+                           adjustmentMethod = "none")
+ 
+   pvalues.clusters.test <- pvalDF[genes.names.test, ]
+   saveRDS(pvalues.clusters.test,
+           file.path(testsDir, "pvalues.clusters.test.RDS"))
+ 
+   mergedData <- mergeUniformCellsClusters(objCOTAN = obj,
+                                           clusters = splitData[["clusters"]],
+                                           checkers = checker,
+                                           batchSize = 1L,
+                                           cores = 6L,
+                                           distance = "cosine",
+                                           hclustMethod = "ward.D2",
+                                           saveObj = FALSE)
+ 
+   merge.clusters.test <- mergedData[["clusters"]]
+   saveRDS(merge.clusters.test,
+           file = file.path(testsDir, "merge.clusters.test.RDS"))
+ 
+   test.dataset.clusters2 <- merge.clusters.test
+   save(test.dataset.clusters2, compress = TRUE,
+        file = file.path("data", "test.dataset.clusters2.rda"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "merge",
+                            clusters = mergedData[["clusters"]],
+                            coexDF = mergedData[["coex"]])
+ }
> 
> proc.time()
   user  system elapsed 
  0.086   0.028   0.122 

COTAN.Rcheck/tests/spelling.Rout


R version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> if (requireNamespace("spelling", quietly = TRUE))
+   spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+                              skip_on_cran = TRUE)
All Done!
> 
> proc.time()
   user  system elapsed 
  0.070   0.022   0.088 

COTAN.Rcheck/tests/testthat.Rout


R version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> Sys.setenv(R_TESTS = "")
> library(testthat)
> library(COTAN)
> library(zeallot)
> test_check("COTAN")
Setting new log level to 4
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.803914070129395
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.22024202346802
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000198125839233398
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00227785110473633
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.392086029052734
Total calculations elapsed time: 1.61480402946472
Calculate genes' COEX (legacy): DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 5 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.32373905181885
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 7 cells batches
Total calculations elapsed time: 0.401448965072632
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75595238095238 | median:  1.07156808035714 | mean:  1.07156808035714
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.765969038009644
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03734183779544 | max: 4.61112297272667 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.373837947845459
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0295487661210321 | median:  0.016072261901129 | mean:  0.016072261901129
`nu` mean: 1.69786080481514
Marginal errors | max: 1.95799528048 | median 1.32268477389029 | mean: 1.33563364783916
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.738603115081787
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0585450475968788 | max: 3.52739274166646 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.39507007598877
Estimate `nu`: DONE
`nu` change (abs) | max: 0.417150556912302 | median:  0.240156504520849 | mean:  0.240156504520849
`nu` mean: 0.823005947608547
Marginal errors | max: 0.837672524335755 | median 0.704691669139065 | mean: 0.646575831699997
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.764885902404785
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.328845855849147 | max: 4.03031691940854 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.3857262134552
Estimate `nu`: DONE
`nu` change (abs) | max: 0.164439840041 | median:  0.0957105992188852 | mean:  0.0957105992188852
`nu` mean: 1.06872924082212
Marginal errors | max: 0.260109847946692 | median 0.21392791155499 | mean: 0.197565106613054
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.748955011367798
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.229469002841045 | max: 3.87206403670079 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.379802942276001
Estimate `nu`: DONE
`nu` change (abs) | max: 0.05539667181205 | median:  0.0321044921874999 | mean:  0.0321044921874999
`nu` mean: 0.97670782037545
Marginal errors | max: 0.095347789718808 | median 0.0796003827042702 | mean: 0.0725509735761708
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.781116962432861
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263830434255107 | max: 3.92953043775907 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.386756896972656
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0196209299693411 | median:  0.0114037947200925 | mean:  0.0114037947200925
`nu` mean: 1.00821713524925
Marginal errors | max: 0.0329495161656741 | median 0.0273479725376307 | mean: 0.0250296751521306
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.746762990951538
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251734659898779 | max: 3.9096133246649 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.385344982147217
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0069104540740097 | median:  0.0040109538496062 | mean:  0.0040109538496062
`nu` mean: 0.997100499775596
Marginal errors | max: 0.0116950057438405 | median 0.00972280144873938 | mean: 0.00889105008777555
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.780213832855225
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.256009779031907 | max: 3.91667271750655 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.410076856613159
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00251004753849005 | median:  0.00146484374999994 | mean:  0.00146484374999994
`nu` mean: 1.00104520378849
Marginal errors | max: 0.00430755646112857 | median 0.00358203399504298 | mean: 0.00327684342604027
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.795919895172119
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254429717857093 | max: 3.91406908073254 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.376262903213501
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00104629156456748 | median:  0.000592910406456731 | mean:  0.000592910406456731
`nu` mean: 0.999546618841889
Marginal errors | max: 0.00162038706091039 | median 0.00134441676098973 | mean: 0.00123030512553282
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.83316707611084
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255022049769696 | max: 3.91504587939868 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.425536870956421
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418450901304768 | median:  0.000244140625000028 | mean:  0.000244140625000028
`nu` mean: 1.0001743102763
Marginal errors | max: 0.00071569233034019 | median 0.000597297218559056 | mean: 0.000545906995079193
Total calculations elapsed time: 21.0385491847992
Estimate `dispersion`/`nu`: DONE
Estimate `dispersion`/`nu`: START
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.75075101852417
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.25835204124451
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000257968902587891
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00120306015014648
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.398334980010986
Total calculations elapsed time: 1.65814805030823
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.29872298240662
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000272989273071289
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000807046890258789
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.400512933731079
Total calculations elapsed time: 1.70031595230103
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00425100326538086
Calculate `GDI`: DONE
Total calculations elapsed time: 1.26515817642212
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000871896743774414
Calculate `GDI`: DONE
Total calculations elapsed time: 1.16440320014954
Calculate GDI dataframe: DONE
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Selected 5 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 5 genes using HVG_Seurat selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer data
Calculating gene means
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Running genes' selection: START
Given 5 genes as input
Running genes' selection: DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.893473148345947
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.94744610786438
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Selected 8 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.871809959411621
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 8 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.28287792205811
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.36041307449341
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.33857893943787
Elaborating Reduced dimensionality Data Matrix - DONE
Initializing `COTAN` meta-data
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.854497194290161
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.410982131958008
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 1.735699617106 | median 1.3799744133366 | mean: 1.32181397451301
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.84313702583313
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0655494303592343 | max: 3.54400580804152 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.403815984725952
Estimate `nu`: DONE
`nu` change (abs) | max: 0.402649984216273 | median:  0.231868788425666 | mean:  0.231868788425666
`nu` mean: 0.829218804209393
Marginal errors | max: 0.803248939260364 | median 0.677504196374571 | mean: 0.619386446933351
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.858231067657471
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.326019058449519 | max: 4.02612397202046 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.423735857009888
Estimate `nu`: DONE
`nu` change (abs) | max: 0.158004893526231 | median:  0.0919692884670312 | mean:  0.0919692884670312
`nu` mean: 1.0660356050592
Marginal errors | max: 0.25067700287536 | median 0.206241644985115 | mean: 0.190402167377958
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.824401140213013
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.230397316576369 | max: 3.87365659194104 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.407116889953613
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0532774732102337 | median:  0.0308837890624999 | mean:  0.0308837890624999
`nu` mean: 0.977606315852266
Marginal errors | max: 0.0916920322976189 | median 0.0765360853958175 | mean: 0.0697673030094082
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.82764482498169
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263457616228195 | max: 3.928924407347 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.437658071517944
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0187878665732679 | median:  0.0109155550210726 | mean:  0.0109155550210726
`nu` mean: 1.0078723115522
Marginal errors | max: 0.0315207323253404 | median 0.0261635598193228 | mean: 0.0239435763640456
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.82574987411499
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251890641847533 | max: 3.90987172241566 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.422844171524048
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00649137083358098 | median:  0.00376680890457393 | mean:  0.00376680890457393
`nu` mean: 0.997275438070993
Marginal errors | max: 0.0109748802265024 | median 0.00912386940474885 | mean: 0.00834350038184262
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.872355937957764
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255902752363649 | max: 3.91649655995187 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.421398878097534
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00230094227000666 | median:  0.00132529141000018 | mean:  0.00132529141000018
`nu` mean: 1.00097565086001
Marginal errors | max: 0.00376864912836616 | median 0.00313421412286008 | mean: 0.00286709489297596
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.780733108520508
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254520292119112 | max: 3.91421850264948 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.422310829162598
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000837013154366462 | median:  0.000488281250000028 | mean:  0.000488281250000028
`nu` mean: 0.999651268095634
Marginal errors | max: 0.00144055320514802 | median 0.00119489364392944 | mean: 0.00109355439757213
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.860641956329346
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255046800817986 | max: 3.91508667609651 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.431939840316772
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418448154490214 | median:  0.000244140624999917 | mean:  0.000244140624999917
`nu` mean: 1.00017430752949
Marginal errors | max: 0.000715683388516908 | median 0.0005972847342397 | mean: 0.00054589991652314
Total calculations elapsed time: 22.5839068889618
Estimate `dispersion`/`nu`: DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.20041108131409
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000200986862182617
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000479936599731445
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.403942108154297
Total calculations elapsed time: 1.6050341129303
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.34330892562866
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.000233173370361328
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000494003295898438
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.428583860397339
Total calculations elapsed time: 1.77261996269226
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000901937484741211
Calculate `GDI`: DONE
Total calculations elapsed time: 1.23620510101318
Calculate GDI dataframe: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.325
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.37105083465576
Calculate genes' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.40977311134338
Calculate cells' partial COEX: DONE
Asked to drop 2 genes and 0 cells
Asked to drop 0 genes and 4 cells
Asked to drop 2 genes and 2 cells

Attaching package: 'rlang'

The following objects are masked from 'package:testthat':

    is_false, is_null, is_true

Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating YN..NY..NN..t().. done
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.84615397453308
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
calculating NN.. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.33881688117981
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000269174575805664
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000491857528686523
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.417909145355225
Total calculations elapsed time: 1.75748705863953
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.29353499412537
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000203132629394531
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000472784042358398
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.395611047744751
Total calculations elapsed time: 1.68982195854187
Calculate genes' COEX (legacy): DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.1
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.37153720855713
Calculate genes' partial COEX: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.4
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.34118294715881
Calculate genes' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating NY..YN..NN..t().. done
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.64200305938721
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.435171127319336
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.0807313765005375 | mean: 0.101968565509113
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.66973900794983
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.414958000183105
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median:  0.0148852611818011 | mean:  0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741771 | median 0.00111713187082163 | mean: 0.00132007186542999
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.82003712654114
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.410063982009888
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 10.1607758998871
Estimate `dispersion`/`nu`: DONE
calculating NN.. done
calculating NN.. done
calculating YN..NY..YY..t().. done
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.36367201805115
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000308990478515625
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000531911849975586
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.477601051330566
Total calculations elapsed time: 1.8421139717102
Calculate cells' COEX (legacy): DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.38541698455811
Calculate cells' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.54790782928467
Calculate cells' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.72690510749817
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.420038938522339
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.0807313765005375 | mean: 0.101968565509113
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.70014095306396
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.450541973114014
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median:  0.0148852611818011 | mean:  0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741771 | median 0.00111713187082163 | mean: 0.00132007186542999
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.74566102027893
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.40117883682251
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 10.3272311687469
Estimate `dispersion`/`nu`: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.28064107894897
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00020909309387207
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000527858734130859
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.430082082748413
Total calculations elapsed time: 1.71146011352539
Calculate genes' COEX (legacy): DONE
Calculating S: START
Calculating S: DONE
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 2.87401103973389
Calculating G: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Total calculations elapsed time: 0.000686883926391602
calculating PValues: DONE
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 2.855064868927
Calculating G: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 2.85557293891907
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000844001770019531
Calculate `GDI`: DONE
Total calculations elapsed time: 1.20093989372253
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 2.98510694503784
Calculating G: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000989913940429688
Calculate `GDI`: DONE
Total calculations elapsed time: 4.18239903450012
Calculate GDI dataframe: DONE
Calculate `GDI`: START
Calculating S: START
Calculating S: DONE
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00144720077514648
Calculate `GDI`: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000940799713134766
Calculate `GDI`: DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.397439002990723
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.936325073242188
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.37387919425964
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.73513722419739
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00350594520568848
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0276689529418945
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.428807973861694
Total calculations elapsed time: 2.19512009620667
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.63421893119812
Dataset analysis elapsed time: 4.40553712844849
COTAN dataset analysis: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.389724016189575
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.87594199180603
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.30741095542908
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.65856099128723
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00347709655761719
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0279049873352051
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.415385961532593
Total calculations elapsed time: 2.10532903671265
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.50608706474304
Dataset analysis elapsed time: 4.20322203636169
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.0109221935272217
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0175490379333496
Calculate `GDI`: DONE
Total calculations elapsed time: 1.21102404594421
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.410165071487427
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.95370602607727
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.39631605148315
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.76860499382019
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00403594970703125
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0273630619049072
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.420423984527588
Total calculations elapsed time: 2.22042798995972
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.67240786552429
Dataset analysis elapsed time: 4.47888898849487
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.0077049732208252
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0164670944213867
Calculate `GDI`: DONE
Total calculations elapsed time: 1.26560711860657
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.429875135421753
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.878761053085327
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.27631306648254
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.60557723045349
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00313782691955566
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.027306079864502
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.406481027603149
Total calculations elapsed time: 2.0425021648407
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.4433000087738
Dataset analysis elapsed time: 4.1494882106781
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.00235295295715332
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0162999629974365
Calculate `GDI`: DONE
Total calculations elapsed time: 1.20632481575012
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Asked to drop 0 genes and 960 cells
COTAN dataset analysis: START
Asked to drop 83 genes and 0 cells
Genes/cells selection done: dropped [83] genes and [0] cells
Working on [517] genes and [40] cells
Dataset cleaning elapsed time: 0.398438930511475
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.83814811706543
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.267567793681876 | max: 101.923257389521 | % negative: 52.6112185686654
Model parameter estimation elapsed time: 1.27293515205383
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.429957866668701
Dataset analysis elapsed time: 2.10133194923401
COTAN dataset analysis: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.29151916503906
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00301384925842285
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0055999755859375
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.372379064559937
Total calculations elapsed time: 1.67251205444336
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.23748898506165
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00346899032592773
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00603008270263672
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.394841909408569
Total calculations elapsed time: 1.64182996749878
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.29031801223755
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00257086753845215
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00550603866577148
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.413076162338257
Total calculations elapsed time: 1.71147108078003
Calculate genes' COEX (legacy): DONE
Hangling COTAN object with condition: test
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.00208711624145508
calculating PValues: DONE
Handling genes type: G2
Handling genes type: G3
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Clean plots: START
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Total calculations elapsed time: 0.95383095741272
Clean plots: DONE
Dataset cleaning elapsed time: 1.78880095481873
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.928172826766968
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.35157704353333
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.72401905059814
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00324797630310059
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0279860496520996
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.417730808258057
Total calculations elapsed time: 2.1729838848114
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.6254289150238
Dataset analysis elapsed time: 5.76580691337585
COTAN dataset analysis: DONE
Saving elaborated data locally at: /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/test.cotan.RDS
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.39036297798157
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 44886

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.4008
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 1.80407691001892
Creating new clusterization: DONE
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.41963911056519
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 36652

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3743
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 1.78191781044006
Creating new clusterization: DONE
Creating PDF UMAP in file:  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
19:33:24 UMAP embedding parameters a = 0.9922 b = 1.112
19:33:24 Read 1000 rows and found 65 numeric columns
19:33:24 Using Annoy for neighbor search, n_neighbors = 30
19:33:24 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:33:24 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/file145693f8a64f2
19:33:24 Searching Annoy index using 1 thread, search_k = 3000
19:33:25 Annoy recall = 100%
19:33:25 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:33:26 Initializing from normalized Laplacian + noise (using RSpectra)
19:33:26 Commencing optimization for 500 epochs, with 39044 positive edges
19:33:26 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:33:27 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.76963686943054
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
19:33:27 UMAP embedding parameters a = 0.9922 b = 1.112
19:33:27 Read 1000 rows and found 65 numeric columns
19:33:27 Using Annoy for neighbor search, n_neighbors = 30
19:33:27 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:33:27 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/file1456936cf8113
19:33:27 Searching Annoy index using 1 thread, search_k = 3000
19:33:27 Annoy recall = 100%
19:33:28 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:33:29 Initializing from normalized Laplacian + noise (using RSpectra)
19:33:29 Commencing optimization for 500 epochs, with 39044 positive edges
19:33:29 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:33:30 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.73333406448364
UMAP plot: DONE
* checking uniformity of cluster '0' of 4 clusters
Asked to drop 0 genes and 687 cells
COTAN dataset analysis: START
Asked to drop 43 genes and 0 cells
Genes/cells selection done: dropped [43] genes and [0] cells
Working on [557] genes and [313] cells
Dataset cleaning elapsed time: 0.440374135971069
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 0.8767249584198
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.126565269702225 | max: 788.372048308529 | % negative: 38.5996409335727
Model parameter estimation elapsed time: 1.31141686439514
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.40335011482239
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00345587730407715
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0141339302062988
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.473487138748169
Total calculations elapsed time: 1.89442706108093
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.37278604507446
Dataset analysis elapsed time: 4.12457704544067
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0000' with 313 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0168640613555908
Calculate `GDI`: DONE
Total calculations elapsed time: 1.39367604255676
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0112929344177246
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0000, with size 313, is uniform
Cluster 01_0000's shift to uniformity: -0.0175178017152766
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0412926391382406, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37948219828472, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0323159784560144, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.43089123341067, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00179533213644524, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.4438361365159, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 1, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.47612588512221, isUniform = TRUE, clusterSize = 313
cluster 01_0000 is uniform

* checking uniformity of cluster '1' of 4 clusters
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.484888792037964
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.895205020904541
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 1.29230999946594
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.3698251247406
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00237488746643066
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.014937162399292
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.410887002944946
Total calculations elapsed time: 1.79802417755127
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.20212507247925
Dataset analysis elapsed time: 3.97932386398315
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 257 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0153038501739502
Calculate `GDI`: DONE
Total calculations elapsed time: 1.25689601898193
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0112919807434082
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 257, is uniform
Cluster 01_0001's shift to uniformity: -0.0466523594845982
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00910746812386157, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.3503476405154, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00728597449908925, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37278730407693, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.3866416314687, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.45240567481124, isUniform = TRUE, clusterSize = 257
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 4 clusters
Asked to drop 0 genes and 758 cells
COTAN dataset analysis: START
Asked to drop 77 genes and 0 cells
Genes/cells selection done: dropped [77] genes and [0] cells
Working on [523] genes and [242] cells
Dataset cleaning elapsed time: 0.488723039627075
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.880625009536743
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.166254045792573 | max: 224.924342782861 | % negative: 42.6386233269598
Model parameter estimation elapsed time: 1.32604885101318
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.35140109062195
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00289607048034668
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0117549896240234
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.457660913467407
Total calculations elapsed time: 1.82371306419373
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.29489898681641
Dataset analysis elapsed time: 4.10967087745667
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 242 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0141260623931885
Calculate `GDI`: DONE
Total calculations elapsed time: 1.32202816009521
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0111348628997803
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 242, is uniform
Cluster 01_0002's shift to uniformity: -0.0473527936300249
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00764818355640535, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.34964720636998, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00764818355640535, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37472946305404, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38771313919655, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.43097703442027, isUniform = TRUE, clusterSize = 242
cluster 01_0002 is uniform

* checking uniformity of cluster '3' of 4 clusters
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.445428133010864
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 0.888585090637207
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 1.32109498977661
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.42076086997986
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00246095657348633
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0103721618652344
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.426769018173218
Total calculations elapsed time: 1.8603630065918
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.29930400848389
Dataset analysis elapsed time: 4.06582713127136
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0003' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0137898921966553
Calculate `GDI`: DONE
Total calculations elapsed time: 1.31166291236877
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0112428665161133
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0003, with size 188, is uniform
Cluster 01_0003's shift to uniformity: -0.0672912272436468
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275635, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041519, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633951, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40148843025229, isUniform = TRUE, clusterSize = 188
cluster 01_0003 is uniform


Found 4 uniform and  0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 4 ] different clusters: 01_0000, 01_0001, 01_0002, 01_0003
Differential Expression Analysis - START
* DEA on cluster '1' with 313 cells
* DEA on cluster '2' with 257 cells
* DEA on cluster '3' with 242 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.01596999168396
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  3, 2  ->  1, 3  ->  2, 4  ->  4
Total calculations elapsed time: 36.1215260028839
Creating cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, 3  ->  3, 4  ->  4
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.458109855651855
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 0.90013599395752
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 1.33503603935242
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.34123682975769
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00244808197021484
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0102229118347168
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.449032068252563
Total calculations elapsed time: 1.80293989181519
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.25342607498169
Dataset analysis elapsed time: 4.04657196998596
COTAN dataset analysis: DONE
Checking uniformity for the cluster 'Cluster_4' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0139210224151611
Calculate `GDI`: DONE
Total calculations elapsed time: 1.33277487754822
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0111339092254639
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster Cluster_4, with size 188, is uniform
Cluster Cluster_4's shift to uniformity: -0.0672912272436468
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275635, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041519, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633951, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40148843025229, isUniform = TRUE, clusterSize = 188
Differential Expression Analysis - START
* DEA on cluster '-1' with 50 cells
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 280 cells
* DEA on cluster '4' with 171 cells

Total calculations elapsed time: 0.0122230052947998
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  4, 2  ->  3, 3  ->  2, 4  ->  1, -1  ->  -1
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, 3  ->  3, 4  ->  4, -1  ->  -1
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 600 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.65485286712646
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 67288

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3650
Number of communities: 5
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 2.03340315818787
Creating new clusterization: DONE
Using passed in clusterization
Creating PDF UMAP in file:  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
19:34:08 UMAP embedding parameters a = 0.9922 b = 1.112
19:34:08 Read 1000 rows and found 40 numeric columns
19:34:08 Using Annoy for neighbor search, n_neighbors = 30
19:34:08 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:34:08 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/file145696e3cf7f6
19:34:08 Searching Annoy index using 1 thread, search_k = 3000
19:34:08 Annoy recall = 100%
19:34:08 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:34:09 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
19:34:09 Using 'irlba' for PCA
19:34:09 PCA: 2 components explained 36.15% variance
19:34:09 Scaling init to sdev = 1
19:34:09 Commencing optimization for 500 epochs, with 41630 positive edges
19:34:09 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:34:11 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.74190306663513
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
19:34:11 UMAP embedding parameters a = 0.9922 b = 1.112
19:34:11 Read 1000 rows and found 40 numeric columns
19:34:11 Using Annoy for neighbor search, n_neighbors = 30
19:34:11 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:34:11 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpXzk6lo/file145694db74a46
19:34:11 Searching Annoy index using 1 thread, search_k = 3000
19:34:11 Annoy recall = 100%
19:34:11 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:34:12 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
19:34:12 Using 'irlba' for PCA
19:34:12 PCA: 2 components explained 36.15% variance
19:34:12 Scaling init to sdev = 1
19:34:12 Commencing optimization for 500 epochs, with 41630 positive edges
19:34:12 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:34:13 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.77127695083618
UMAP plot: DONE
* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 38 genes and 0 cells
Genes/cells selection done: dropped [38] genes and [0] cells
Working on [562] genes and [500] cells
Dataset cleaning elapsed time: 0.446791887283325
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.930432081222534
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.108871643378045 | max: 295.971778839086 | % negative: 35.0533807829181
Model parameter estimation elapsed time: 1.39434003829956
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.53778696060181
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00348305702209473
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0177938938140869
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.422155141830444
Total calculations elapsed time: 1.98121905326843
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.46205401420593
Dataset analysis elapsed time: 4.30318593978882
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0167360305786133
Calculate `GDI`: DONE
Total calculations elapsed time: 1.35202503204346
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0132749080657959
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 500, is uniform
Cluster 01_0001's shift to uniformity: -0.0417301990665557
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0124555160142349, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35526980093344, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00889679715302491, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.38536328181507, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.40346106115487, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42565794715046, isUniform = TRUE, clusterSize = 500
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 44 genes and 0 cells
Genes/cells selection done: dropped [44] genes and [0] cells
Working on [556] genes and [500] cells
Dataset cleaning elapsed time: 0.448096036911011
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.898925065994263
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0636486786621688 | max: 141.389145035675 | % negative: 36.1510791366906
Model parameter estimation elapsed time: 1.31203699111938
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.39060306549072
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00384187698364258
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0169510841369629
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.418416023254395
Total calculations elapsed time: 1.82981204986572
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.25816893577576
Dataset analysis elapsed time: 4.01830196380615
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0169689655303955
Calculate `GDI`: DONE
Total calculations elapsed time: 1.27157998085022
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0112700462341309
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 500, is uniform
Cluster 01_0002's shift to uniformity: -0.0413872276843466
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00719424460431655, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35561277231565, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00359712230215827, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37204026755188, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38757136821582, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40876953414107, isUniform = TRUE, clusterSize = 500
cluster 01_0002 is uniform


Found 2 uniform and  0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 2 ] different clusters: 01_0001, 01_0002
Differential Expression Analysis - START
* DEA on cluster '1' with 500 cells
* DEA on cluster '2' with 500 cells

Total calculations elapsed time: 0.0151190757751465
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 22.2603590488434
Creating cells' uniform clustering: DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.6591329574585
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.66335701942444
findClustersMarkers - DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.62073993682861
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.62425994873047
findClustersMarkers - DONE
findClustersMarkers - START
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0119121074676514
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.63922500610352
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.65422296524048
findClustersMarkers - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.424836874008179
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.819243907928467
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 1.26960897445679
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.36248397827148
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00266504287719727
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0130510330200195
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.442604064941406
Total calculations elapsed time: 1.82080411911011
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.24737310409546
Dataset analysis elapsed time: 3.94181895256042
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0155420303344727
Calculate `GDI`: DONE
Total calculations elapsed time: 1.28596496582031
Calculate GDI dataframe: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.893944978713989
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.409374952316284
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.918417930603027
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.36017203330994
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.436415910720825
Dataset analysis elapsed time: 2.20596289634705
COTAN dataset analysis: DONE
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Centering and scaling data matrix

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
PC_ 1 
Positive:  g-000397, g-000525, g-000460, g-000458, g-000535, g-000217, g-000194, g-000497, g-000432, g-000383 
	   g-000318, g-000486, g-000464, g-000588, g-000549, g-000368, g-000252, g-000151, g-000209, g-000538 
	   g-000325, g-000514, g-000524, g-000244, g-000320, g-000201, g-000499, g-000309, g-000290, g-000483 
Negative:  g-000415, g-000506, g-000496, g-000579, g-000572, g-000421, g-000455, g-000328, g-000178, g-000567 
	   g-000405, g-000296, g-000387, g-000501, g-000493, g-000481, g-000343, g-000528, g-000551, g-000414 
	   g-000367, g-000594, g-000159, g-000517, g-000574, g-000229, g-000222, g-000533, g-000243, g-000306 
PC_ 2 
Positive:  g-000141, g-000093, g-000089, g-000033, g-000123, g-000557, g-000330, g-000156, g-000142, g-000095 
	   g-000061, g-000235, g-000032, g-000186, g-000056, g-000259, g-000027, g-000041, g-000333, g-000386 
	   g-000009, g-000395, g-000048, g-000116, g-000340, g-000418, g-000035, g-000332, g-000086, g-000040 
Negative:  g-000088, g-000158, g-000255, g-000115, g-000054, g-000472, g-000554, g-000391, g-000253, g-000226 
	   g-000051, g-000147, g-000541, g-000077, g-000224, g-000194, g-000290, g-000293, g-000313, g-000118 
	   g-000121, g-000220, g-000467, g-000500, g-000341, g-000039, g-000091, g-000249, g-000426, g-000288 
PC_ 3 
Positive:  g-000096, g-000575, g-000370, g-000337, g-000319, g-000364, g-000308, g-000293, g-000147, g-000307 
	   g-000038, g-000492, g-000541, g-000185, g-000008, g-000482, g-000562, g-000097, g-000222, g-000084 
	   g-000141, g-000377, g-000224, g-000223, g-000136, g-000434, g-000277, g-000426, g-000139, g-000093 
Negative:  g-000126, g-000083, g-000086, g-000117, g-000130, g-000010, g-000498, g-000333, g-000047, g-000179 
	   g-000340, g-000035, g-000531, g-000140, g-000527, g-000049, g-000316, g-000031, g-000014, g-000073 
	   g-000218, g-000445, g-000129, g-000175, g-000105, g-000581, g-000404, g-000025, g-000266, g-000354 
PC_ 4 
Positive:  g-000006, g-000043, g-000462, g-000279, g-000180, g-000576, g-000087, g-000584, g-000498, g-000333 
	   g-000189, g-000088, g-000451, g-000059, g-000135, g-000281, g-000106, g-000429, g-000316, g-000578 
	   g-000303, g-000031, g-000581, g-000026, g-000122, g-000561, g-000546, g-000164, g-000353, g-000300 
Negative:  g-000072, g-000012, g-000129, g-000052, g-000097, g-000262, g-000080, g-000056, g-000025, g-000092 
	   g-000354, g-000334, g-000423, g-000228, g-000002, g-000010, g-000086, g-000147, g-000185, g-000172 
	   g-000124, g-000009, g-000077, g-000476, g-000126, g-000145, g-000065, g-000268, g-000152, g-000348 
PC_ 5 
Positive:  g-000105, g-000037, g-000110, g-000054, g-000090, g-000389, g-000022, g-000578, g-000289, g-000147 
	   g-000547, g-000011, g-000477, g-000433, g-000200, g-000348, g-000404, g-000003, g-000250, g-000109 
	   g-000402, g-000241, g-000595, g-000341, g-000560, g-000385, g-000413, g-000352, g-000573, g-000265 
Negative:  g-000051, g-000150, g-000088, g-000476, g-000344, g-000116, g-000428, g-000012, g-000523, g-000394 
	   g-000101, g-000127, g-000069, g-000214, g-000049, g-000357, g-000075, g-000081, g-000576, g-000342 
	   g-000439, g-000018, g-000070, g-000079, g-000015, g-000550, g-000600, g-000247, g-000218, g-000331 
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 68208

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6000
Number of communities: 3
Elapsed time: 0 seconds
Clusterizations found: RNA_snn_res.0.8, seurat_clusters
Conditions found: orig.ident
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.449926853179932
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.925771951675415
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.35141205787659
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.431684017181396
Dataset analysis elapsed time: 2.23302292823792
COTAN dataset analysis: DONE
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.425415992736816
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.932521104812622
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.34612584114075
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.69732713699341
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00313901901245117
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0270490646362305
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.419200897216797
Total calculations elapsed time: 2.14671611785889
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.58035016059875
Dataset analysis elapsed time: 4.35189199447632
COTAN dataset analysis: DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00293302536010742
calculating PValues: DONE
Number of selected secondary markers: 6
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00376319885253906
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 6
Number of rows (U set): 60
Total calculations elapsed time: 0.462201833724976
Calculating gene co-expression space - DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00386691093444824
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00360202789306641
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.439495086669922
Calculating gene co-expression space - DONE
Establishing gene clusters - START
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00353097915649414
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00365900993347168
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.450024127960205
Calculating gene co-expression space - DONE
Total calculations elapsed time: 0.47331690788269
Establishing gene clusters - DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.430639982223511
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.954092025756836
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.3793568611145
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.44192099571228
Dataset analysis elapsed time: 2.25191783905029
COTAN dataset analysis: DONE
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0125770568847656
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.78344297409058
Log Fold Change Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.10997640736885
Handling cluster '2' with mean UDE 1.00770245700749
Handling cluster '3' with mean UDE 0.95940682189354
Handling cluster '4' with mean UDE 0.907328369455933
clustersDeltaExpression - DONE
In group G1 there are 3 detected over 3 genes
In group G2 there are 2 detected over 3 genes
In group G3 there are 5 detected over 5 genes
Merging cells' uniform clustering: START
The merge algorithm will use 2 passes
Start merging nearest clusters - the main threshold is: 1.297
Start merging nearest clusters: iteration 1
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0137279033660889
Differential Expression Analysis - DONE
Updating check results for the 0 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1", "2")
*1_2-merge
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.479335069656372
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.01740789413452
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 1.48375082015991
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.60512399673462
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00440716743469238
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0180039405822754
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.472656965255737
Total calculations elapsed time: 2.10019207000732
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.58945918083191
Dataset analysis elapsed time: 4.55254507064819
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge' with 499 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0190250873565674
Calculate `GDI`: DONE
Total calculations elapsed time: 1.36822509765625
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0110840797424316
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge, with size 499, is not uniform
Cluster 1_2-merge's shift to uniformity: 0.0566581136434186
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.178082191780822, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35365811364342, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.148972602739726, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37149326865972, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00513698630136986, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38256306292778, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 3, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42111642638126, isUniform = FALSE, clusterSize = 499
Clusters 1 and 2 cannot be merged
Finished the first batch - no merges were executed
Loop calculations elapsed time: 8.09879398345947
Start merging nearest clusters: iteration 2
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0121409893035889
Differential Expression Analysis - DONE
Updating check results for the 1 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("3", "4")
*3_4-merge
Asked to drop 0 genes and 499 cells
COTAN dataset analysis: START
Asked to drop 37 genes and 0 cells
Genes/cells selection done: dropped [37] genes and [0] cells
Working on [563] genes and [501] cells
Dataset cleaning elapsed time: 0.447917938232422
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 0.940660953521729
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.107568326617881 | max: 698.639334552755 | % negative: 32.1492007104796
Model parameter estimation elapsed time: 1.43142294883728
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.53759694099426
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00362896919250488
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0184681415557861
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.461987018585205
Total calculations elapsed time: 2.02168107032776
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.47748398780823
Dataset analysis elapsed time: 4.35682487487793
COTAN dataset analysis: DONE
Checking uniformity for the cluster '3_4-merge' with 501 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0170700550079346
Calculate `GDI`: DONE
Total calculations elapsed time: 1.39794588088989
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0114789009094238
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 3_4-merge, with size 501, is not uniform
Cluster 3_4-merge's shift to uniformity: 0.0813107504724644
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.259325044404973, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37831075047246, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.216696269982238, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.41473792188165, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.0301953818827709, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.43341610223173, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 17, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.4617394878777, isUniform = FALSE, clusterSize = 501
Clusters 3 and 4 cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.297 out of 2 checks
Start merging nearest clusters - the main threshold is: 1.397
Start merging nearest clusters: iteration 3
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0136070251464844
Differential Expression Analysis - DONE
Updating check results for the 2 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("2", "4")
*2_4-merge
Asked to drop 0 genes and 570 cells
COTAN dataset analysis: START
Asked to drop 9 genes and 0 cells
Genes/cells selection done: dropped [9] genes and [0] cells
Working on [591] genes and [430] cells
Dataset cleaning elapsed time: 0.456176996231079
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.992847919464111
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0739592351622374 | max: 400.051960722886 | % negative: 25.7191201353638
Model parameter estimation elapsed time: 1.47901391983032
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.54509711265564
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00372982025146484
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0175971984863281
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.435721874237061
Total calculations elapsed time: 2.00214600563049
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.45720505714417
Dataset analysis elapsed time: 4.39239597320557
COTAN dataset analysis: DONE
Checking uniformity for the cluster '2_4-merge' with 430 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0174970626831055
Calculate `GDI`: DONE
Total calculations elapsed time: 1.49259400367737
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0122771263122559
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 2_4-merge, with size 430, is not uniform
Cluster 2_4-merge's shift to uniformity: 3.07228472969514
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.583756345177665, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 3.7954982715656, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.576988155668359, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.08354952912925, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.524534686971235, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 4.42722016730736, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 310, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 4.57228472969514, isUniform = FALSE, clusterSize = 430
Clusters 2 and 4 cannot be merged
Clusters 1 and 2 will be merged
Clusters 4 and 3 will be merged
Executed 2 merges
Loop calculations elapsed time: 8.03616404533386
Start merging nearest clusters: iteration 4
Differential Expression Analysis - START
* DEA on cluster '1_2-merge' with 499 cells
* DEA on cluster '3_4-merge' with 501 cells

Total calculations elapsed time: 0.0138430595397949
Differential Expression Analysis - DONE
Updating check results for the 3 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1_2-merge", "3_4-merge")
*1_2-merge_3_4-merge-merge
Asked to drop no genes or cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.459179878234863
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.0182089805603
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.49030113220215
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.8493959903717
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00379610061645508
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0339789390563965
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.49270510673523
Total calculations elapsed time: 2.37987613677979
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.85743594169617
Dataset analysis elapsed time: 4.80691695213318
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge_3_4-merge-merge' with 1000 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0171728134155273
Calculate `GDI`: DONE
Total calculations elapsed time: 1.35933494567871
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0112991333007812
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge_3_4-merge-merge, with size 1000, is not uniform
Cluster 1_2-merge_3_4-merge-merge's shift to uniformity: 3.86988385120409
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.69, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 4.54596809454193, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.678333333333333, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.93144728766684, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.593333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 5.2532296852478, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 356, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 5.36988385120409, isUniform = FALSE, clusterSize = 1000
Clusters 1_2-merge and 3_4-merge cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.397 out of 4 checks
The final merged clusterization contains [2] different clusters: 1_2-merge, 3_4-merge
Differential Expression Analysis - START
* DEA on cluster '1' with 499 cells
* DEA on cluster '2' with 501 cells

Total calculations elapsed time: 0.0132381916046143
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 32.368439912796
Merging cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 0.953983068466187
Log Fold Change Analysis - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.477473974227905
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.953941822052002
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 1.39362001419067
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.5359480381012
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00311899185180664
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0174238681793213
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.477624177932739
Total calculations elapsed time: 2.03411507606506
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.56741690635681
Dataset analysis elapsed time: 4.43851089477539
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0194458961486816
Calculate `GDI`: DONE
Total calculations elapsed time: 1.42821598052979
Calculate GDI dataframe: DONE
Dispersion bisection: straddling used 2 iterations
Dispersion bisection: used 8 iterations
Dispersion bisection: straddling used 1 iterations
Dispersion bisection: used 9 iterations
Dispersion Newton-Raphson: used up to 4 iterations
Dispersion Newton-Raphson: used up to 4 iterations
parallel dispersion bisection: straddling used up to 2 iterations
Parallel dispersion bisection: used up to 9 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
[ FAIL 0 | WARN 3 | SKIP 0 | PASS 572 ]

[ FAIL 0 | WARN 3 | SKIP 0 | PASS 572 ]
> 
> proc.time()
   user  system elapsed 
319.984   1.908 324.170 

Example timings

COTAN.Rcheck/COTAN-Ex.timings

nameusersystemelapsed
COTAN_Legacy0.0010.0000.003
COTAN_ObjectCreation4.9870.0905.159
CalculatingCOEX24.724 0.36825.354
ClustersList0.0030.0010.003
Conversions2.1560.0312.189
GenesStatistics5.0340.0595.091
HandleMetaData0.0140.0010.016
HandlingClusterizations18.697 0.20319.017
HandlingConditions0.0290.0060.035
HeatmapPlots14.553 0.39615.011
Installing_torch000
LoggingFunctions0.0010.0000.001
ParametersEstimations 9.900 0.33810.384
RawDataCleaning1.8540.0361.961
RawDataGetters0.0140.0020.017
UniformClusters31.996 0.29032.419
getColorsVector000