DOI: 10.18129/B9.bioc.supersigs    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see supersigs.

Supervised mutational signatures

Bioconductor version: 3.15

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

Maintainer: Albert Kuo <albertkuo at>

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


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biocViews Classification, FeatureExtraction, Regression, Sequencing, Software, SomaticMutation, WholeGenome
Version 1.4.0
In Bioconductor since BioC 3.13 (R-4.1) (1.5 years)
License GPL-3
Depends R (>= 4.1)
Imports assertthat, caret, dplyr, tidyr, rsample, methods, rlang, utils, Biostrings, stats, SummarizedExperiment
Suggests BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, knitr, rmarkdown, ggplot2, testthat, VariantAnnotation
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