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Selecting the number of mutational signatures through cross-validation

Bioconductor version: Release (3.19)

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>

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SUITOR: selecting the number of mutational signatures PDF R Script
Reference Manual PDF


biocViews Genetics, Software, SomaticMutation
Version 1.6.0
In Bioconductor since BioC 3.16 (R-4.2) (1.5 years)
License GPL-2
Depends R (>= 4.2.0)
Imports stats, utils, graphics, ggplot2, BiocParallel
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Suggests devtools, MutationalPatterns, RUnit, BiocManager, BiocGenerics, BiocStyle, knitr, rmarkdown
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