supersigs

This is the development version of supersigs; for the stable release version, see supersigs.

Supervised mutational signatures


Bioconductor version: Development (3.21)

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: ), Yifan Zhang [aut], Bahman Afsari [aut], Cristian Tomasetti [aut]

Maintainer: Albert Kuo <albertkuo at jhu.edu>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 Manual PDF
NEWS Text

Details

biocViews Classification, FeatureExtraction, Regression, Sequencing, Software, SomaticMutation, WholeGenome
Version 1.15.0
In Bioconductor since BioC 3.13 (R-4.1) (3.5 years)
License GPL-3
Depends R (>= 4.1)
Imports assertthat, caret, dplyr, tidyr, rsample, methods, rlang, utils, Biostrings, stats, SummarizedExperiment
System Requirements
URL https://tomasettilab.github.io/supersigs/
Bug Reports https://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
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Build Report Build Report

Package Archives

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

Source Package supersigs_1.15.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/supersigs
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/supersigs
Bioc Package Browser https://code.bioconductor.org/browse/supersigs/
Package Short Url https://bioconductor.org/packages/supersigs/
Package Downloads Report Download Stats