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selectKSigs

This is the released version of selectKSigs; for the devel version, see selectKSigs.

All Bioconductor versions of selectKSigs

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Selecting the number of mutational signatures using a perplexity-based measure and cross-validation

Bioconductor version: 3.23 · Package version: 1.24.0

A package to suggest the number of mutational signatures in a collection of somatic mutations using calculating the cross-validated perplexity score.

Author: Zhi Yang [aut, cre], Yuichi Shiraishi [ctb]

Maintainer: Zhi Yang <zyang895 at gmail.com>

DOI: 10.18129/B9.bioc.selectKSigs

Citation

From within R, enter citation("selectKSigs"):

Zhi Yang. selectKSigs: Selecting the number of mutational signatures using a perplexity-based measure and cross-validation. doi:10.18129/B9.bioc.selectKSigs, R package version 1.24.0, https://bioconductor.org/packages/selectKSigs.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("selectKSigs")

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

Details

Version1.24.0
LicenseGPL-3
URLhttps://github.com/USCbiostats/selectKSigs
Bug Reportshttps://github.com/USCbiostats/HiLDA/selectKSigs
Last updated2026-04-28
In Bioconductor sinceBioC 3.11 (R-4.0) (6 years)
Downloads rank1959 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsClustering, Sequencing, Software, SomaticMutation, StatisticalMethod
Package Short Url https://bioconductor.org/packages/selectKSigs/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("selectKSigs")
selectKSigs: a package for selecting the number of mutational signatures HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageselectKSigs_1.24.0.tar.gz
Windows binary (x86_64)selectKSigs_1.24.0.zip
macOS binary (arm64)selectKSigs_1.24.0.tgz
macOS binary (x86_64)selectKSigs_1.24.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/selectKSigs
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/selectKSigs
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 3.6)

Imports: HiLDA, magrittr, gtools, methods, Rcpp

LinkingTo: Rcpp

Suggests: knitr, rmarkdown, testthat, BiocStyle, ggplot2, dplyr, tidyr