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selectKSigs

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

All versions 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: Release (3.23)

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>

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.

Documentation

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

browseVignettes("selectKSigs")
An introduction to HiLDA HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Clustering, Sequencing, Software, SomaticMutation, StatisticalMethod
Version1.24.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 years)
License GPL-3
Depends R (>= 3.6)
Imports HiLDA, magrittr, gtools, methods, Rcpp
System Requirements
URLhttps://github.com/USCbiostats/selectKSigs
Bug Reportshttps://github.com/USCbiostats/HiLDA/selectKSigs
See More
Suggests knitr, rmarkdown, testthat, BiocStyle, ggplot2, dplyr, tidyr
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package selectKSigs_1.24.0.tar.gz
Windows Binary (x86_64) selectKSigs_1.24.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) selectKSigs_1.24.0.tgz
macOS Binary (sonoma-arm64) 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 Short Url https://bioconductor.org/packages/selectKSigs/
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