Package: SUITOR 1.7.0

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'))

Peer review:

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

Datasets:

On BioConductor:SUITOR-1.7.0(bioc 3.20)SUITOR-1.6.0(bioc 3.19)

bioconductor-package

4 exports 0.36 score 37 dependencies

Last updated 2 months agofrom:382dc6e90a

Exports:getSummaryplotErrorssuitorsuitorExtractWH

Dependencies:BHBiocParallelclicodetoolscolorspacecpp11fansifarverformatRfutile.loggerfutile.optionsggplot2gluegtableisobandlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessnowtibbleutf8vctrsviridisLitewithr

SUITOR: selecting the number of mutational signatures

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