Package: supersigs
Title: Supervised mutational signatures
Version: 1.20.0
Date: 2021-12-02
Authors@R: c(person(given = "Albert", 
                    family = "Kuo",
                    role = c("aut", "cre"),
                    email = "albertkuo@jhu.edu", 
                    comment = c("ORCID" = "0000-0001-5155-0748")),
             person(given = "Yifan", 
                    family = "Zhang",
                    role = c("aut")),
             person(given = "Bahman", 
                    family = "Afsari",
                    role = c("aut")),
             person(given = "Cristian", 
                    family = "Tomasetti",
                    role = c("aut"))) 
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
Description: 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).
biocViews: FeatureExtraction, Classification, Regression, Sequencing,
        WholeGenome, SomaticMutation
BugReports: https://github.com/TomasettiLab/supersigs/issues
URL: https://tomasettilab.github.io/supersigs/
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: gzip
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/testthat/edition: 3
PackageStatus: Deprecated
Config/pak/sysreqs: libicu-dev zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:55:55 UTC
RemoteUrl: https://github.com/bioc/supersigs
RemoteRef: RELEASE_3_23
RemoteSha: 589553e6b32b667080f7e3fb612c545d97dd971d
NeedsCompilation: no
Packaged: 2026-09-20 10:14:10 UTC; root
Author: Albert Kuo [aut, cre] (ORCID: <https://orcid.org/0000-0001-5155-0748>),
  Yifan Zhang [aut],
  Bahman Afsari [aut],
  Cristian Tomasetti [aut]
Maintainer: Albert Kuo <albertkuo@jhu.edu>