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supersigs

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.23 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see supersigs.

All versions 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Supervised mutational signatures


Bioconductor version: Release (3.23)

Generate SuperSigs (supervised mutational signatures) from single nucleotide variants in the cancer genome. Functions included in the package allow the user to learn supervised mutational signatures from their data and apply them to new data. The methodology is based on the one described in Afsari (2021, ELife).

Author: Albert Kuo [aut, cre] ORCID iD ORCID: 0000-0001-5155-0748 , Yifan Zhang [aut], Bahman Afsari [aut], Cristian Tomasetti [aut]

Maintainer: Albert Kuo <albertkuo at jhu.edu>

Citation (from within R, enter citation("supersigs")):

Albert Kuo, Yifan Zhang, Bahman Afsari, Cristian Tomasetti. supersigs: Supervised mutational signatures. doi:10.18129/B9.bioc.supersigs, R package version 1.19.0, https://bioconductor.org/packages/supersigs.

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("supersigs")

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("supersigs")
Using supersigs HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Classification, FeatureExtraction, Regression, Sequencing, Software, SomaticMutation, WholeGenome
Version1.19.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 years)
License GPL-3
Depends R (>= 4.1)
Imports assertthat, caret, dplyr, tidyr, rsample, methods, rlang, utils, Biostrings, stats, SummarizedExperiment
System Requirements
URLhttps://tomasettilab.github.io/supersigs/
Bug Reportshttps://github.com/TomasettiLab/supersigs/issues
See More
Suggests BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, knitr, rmarkdown, ggplot2, testthat, VariantAnnotation
Linking To
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 supersigs_1.19.0.tar.gz
Windows Binary (x86_64) supersigs_1.19.0.zip
macOS Binary (big-sur-x86_64) supersigs_1.19.0.tgz
macOS Binary (sonoma-arm64) supersigs_1.19.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/supersigs
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/supersigs
Package Short Url https://bioconductor.org/packages/supersigs/
Package Downloads ReportDownload Stats