Package: SUITOR 1.13.0

Bill Wheeler

SUITOR: Selecting the number of mutational signatures through cross-validation

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.

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

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NEWS

# Install 'SUITOR' in R:
install.packages('SUITOR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wheelerb/suitor/issues

Datasets:

On BioConductor:SUITOR-1.13.0(bioc 3.23)SUITOR-1.12.0(bioc 3.22)

geneticssoftwaresomaticmutation

4.00 score 2 scripts 250 downloads 4 exports 25 dependencies

Last updated from:c762b8f9ea. Checks:4 WARNING, 9 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING189
linux-devel-arm64OK177
linux-devel-x86_64OK255
source / vignettesOK294
linux-release-arm64OK204
linux-release-x86_64OK227
macos-release-arm64WARNING98
macos-release-x86_64WARNING177
macos-oldrel-arm64FAIL83
macos-oldrel-x86_64WARNING219
windows-develOK140
windows-releaseOK122
windows-oldrelOK123
wasm-releaseOK198

Exports:getSummaryplotErrorssuitorsuitorExtractWH

Dependencies:BHBiocParallelclicodetoolscpp11farverformatRfutile.loggerfutile.optionsggplot2gluegtableisobandlabelinglambda.rlifecycleR6RColorBrewerrlangS7scalessnowvctrsviridisLitewithr

SUITOR: selecting the number of mutational signatures

DongHyuk Lee and Bin Zhu

Rendered fromvignette.Rmdusingknitr::rmarkdownon Apr 12 2026.

Last update: 2022-05-10
Started: 2022-04-18