Bioconductor 3.22 Released

SUITOR

This is the development version of SUITOR; for the stable release version, see SUITOR.

Selecting the number of mutational signatures through cross-validation


Bioconductor version: Development (3.23)

An unsupervised cross-validation method to select the optimal number of mutational signatures. A data set of mutational counts is split into training and validation data.Signatures are estimated in the training data and then used to predict the mutations in the validation data.

Author: DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre]

Maintainer: Bill Wheeler <wheelerb at imsweb.com>

Citation (from within R, enter citation("SUITOR")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("SUITOR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Genetics, Software, SomaticMutation
Version 1.11.0
In Bioconductor since BioC 3.16 (R-4.2) (3 years)
License GPL-2
Depends R (>= 4.2.0)
Imports stats, utils, graphics, ggplot2, BiocParallel
System Requirements
URL
Bug Reports https://github.com/wheelerb/SUITOR/issues
See More
Suggests devtools, MutationalPatterns, RUnit, BiocManager, BiocGenerics, BiocStyle, knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/SUITOR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SUITOR
Package Short Url https://bioconductor.org/packages/SUITOR/
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