| Back to Multiple platform build/check report for BioC 3.14 |
|
This page was generated on 2022-04-13 12:06:02 -0400 (Wed, 13 Apr 2022).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 20.04.4 LTS) | x86_64 | 4.1.3 (2022-03-10) -- "One Push-Up" | 4324 |
| tokay2 | Windows Server 2012 R2 Standard | x64 | 4.1.3 (2022-03-10) -- "One Push-Up" | 4077 |
| machv2 | macOS 10.14.6 Mojave | x86_64 | 4.1.3 (2022-03-10) -- "One Push-Up" | 4137 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
|
To the developers/maintainers of the TBSignatureProfiler package: - Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/TBSignatureProfiler.git to reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
| Package 1935/2083 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| TBSignatureProfiler 1.6.0 (landing page) Aubrey Odom
| nebbiolo2 | Linux (Ubuntu 20.04.4 LTS) / x86_64 | OK | OK | OK | |||||||||
| tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | OK | OK | |||||||||
| machv2 | macOS 10.14.6 Mojave / x86_64 | OK | OK | OK | OK | |||||||||
| Package: TBSignatureProfiler |
| Version: 1.6.0 |
| Command: /home/biocbuild/bbs-3.14-bioc/R/bin/R CMD check --install=check:TBSignatureProfiler.install-out.txt --library=/home/biocbuild/bbs-3.14-bioc/R/library --no-vignettes --timings TBSignatureProfiler_1.6.0.tar.gz |
| StartedAt: 2022-04-12 09:38:08 -0400 (Tue, 12 Apr 2022) |
| EndedAt: 2022-04-12 09:41:04 -0400 (Tue, 12 Apr 2022) |
| EllapsedTime: 176.5 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: TBSignatureProfiler.Rcheck |
| Warnings: 0 |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/bbs-3.14-bioc/R/bin/R CMD check --install=check:TBSignatureProfiler.install-out.txt --library=/home/biocbuild/bbs-3.14-bioc/R/library --no-vignettes --timings TBSignatureProfiler_1.6.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.14-bioc/meat/TBSignatureProfiler.Rcheck’
* using R version 4.1.3 (2022-03-10)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘TBSignatureProfiler/DESCRIPTION’ ... OK
* this is package ‘TBSignatureProfiler’ version ‘1.6.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* 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 ‘TBSignatureProfiler’ 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 R 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 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 LazyData ... 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
evaluateOriginalModel 9.570 0.154 9.757
bootstrapAUC 8.396 0.404 8.800
compareAlgs 6.717 0.540 7.257
signatureROCplot_CI 5.330 0.056 5.385
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘packagecoverage.R’
Running ‘spelling.R’
Running ‘testthat.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: OK
TBSignatureProfiler.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.14-bioc/R/bin/R CMD INSTALL TBSignatureProfiler ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.14-bioc/R/library’ * installing *source* package ‘TBSignatureProfiler’ ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** 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 (TBSignatureProfiler)
TBSignatureProfiler.Rcheck/tests/packagecoverage.Rout
R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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.
> # Coverage Script
> # Run tests and generate Code Coverage Report
>
> # Look at a specific script ---------------------------------------------------
> #test_for_me <- function(codefile, testfile) {
> # test_file(testfile)
> # res <- covr::file_coverage(codefile, testfile)
> # print(res)
> # covr::report(res)
> #}
>
> #test_for_me("R/evaluate.R", "tests/testthat/test-evaluate.R")
>
> # Look at whole package -------------------------------------------------------
>
> # Gets percent coverage for entire package, by script
>
> #covr::package_coverage()
> #
> # Report with gui (probably the best here)
> #covr::report()
>
>
>
>
>
>
> proc.time()
user system elapsed
0.205 0.018 0.210
TBSignatureProfiler.Rcheck/tests/spelling.Rout
R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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)
NULL
>
> proc.time()
user system elapsed
0.154 0.035 0.172
TBSignatureProfiler.Rcheck/tests/testthat.Rout
R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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.
> library(testthat)
> library(TBSignatureProfiler)
>
> test_check("TBSignatureProfiler")
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|=================================== | 50%
|
|======================================================================| 100%
|
| | 0%
|
|=================================== | 50%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
================================================================================
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
================================================================================
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating ssGSEA scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
================================================================================
================================================================================
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
Estimating PLAGE scores for 1 gene sets.
|
| | 0%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating combined z-scores for 1 gene sets.
|
| | 0%
|
|======= | 10%
|
|============== | 20%
|
|===================== | 30%
|
|============================ | 40%
|
|=================================== | 50%
|
|========================================== | 60%
|
|================================================= | 70%
|
|======================================================== | 80%
|
|=============================================================== | 90%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
================================================================================
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
================================================================================
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
Estimating GSVA scores for 1 gene sets.
Estimating ECDFs with Gaussian kernels
|
| | 0%
|
|======================================================================| 100%
[ FAIL 0 | WARN 0 | SKIP 1 | PASS 153 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (1)
[ FAIL 0 | WARN 0 | SKIP 1 | PASS 153 ]
>
> proc.time()
user system elapsed
61.535 1.740 63.293
TBSignatureProfiler.Rcheck/TBSignatureProfiler-Ex.timings
| name | user | system | elapsed | |
| COVIDsignatures | 0.01 | 0.00 | 0.01 | |
| OriginalTrainingData | 0 | 0 | 0 | |
| SignatureQuantitative | 4.732 | 0.125 | 4.865 | |
| TBSPapp | 0 | 0 | 0 | |
| TB_hiv | 0.001 | 0.000 | 0.001 | |
| TB_indian | 0.001 | 0.000 | 0.001 | |
| TBcommon | 0.001 | 0.000 | 0.000 | |
| TBsignatures | 0.001 | 0.000 | 0.000 | |
| TBsignaturesSplit | 0.001 | 0.000 | 0.000 | |
| addTBsignature | 0.010 | 0.000 | 0.011 | |
| bootstrapAUC | 8.396 | 0.404 | 8.800 | |
| common_sigAnnotData | 0.001 | 0.000 | 0.000 | |
| compareAlgs | 6.717 | 0.540 | 7.257 | |
| compareBoxplots | 0.587 | 0.044 | 0.630 | |
| deseq2_norm_rle | 0.280 | 0.012 | 0.292 | |
| distinctColors | 0.000 | 0.000 | 0.001 | |
| evaluateOriginalModel | 9.570 | 0.154 | 9.757 | |
| mkAssay | 1.546 | 0.036 | 1.583 | |
| plotQuantitative | 1.900 | 0.024 | 1.925 | |
| runTBsigProfiler | 0.196 | 0.004 | 0.201 | |
| sigAnnotData | 0.001 | 0.000 | 0.000 | |
| signatureBoxplot | 0.595 | 0.012 | 0.607 | |
| signatureGeneHeatmap | 3.351 | 0.024 | 3.374 | |
| signatureHeatmap | 0.631 | 0.000 | 0.631 | |
| signatureROCplot | 0.433 | 0.000 | 0.433 | |
| signatureROCplot_CI | 5.330 | 0.056 | 5.385 | |
| tableAUC | 0.507 | 0.008 | 0.516 | |