hacksig: A Tidy Framework to Hack Gene Expression Signatures

A collection of cancer transcriptomics gene signatures as well as a simple and tidy interface to compute single sample enrichment scores either with the original procedure or with three alternatives: the "combined z-score" of Lee et al. (2008) <doi:10.1371/journal.pcbi.1000217>, the "single sample GSEA" of Barbie et al. (2009) <doi:10.1038/nature08460> and the "singscore" of Foroutan et al. (2018) <doi:10.1186/s12859-018-2435-4>. The 'get_sig_info()' function can be used to retrieve information about each signature implemented.

Version: 0.1.1
Depends: R (≥ 4.0)
Imports: dplyr (≥ 1.0.7), future.apply (≥ 1.8.1), rlang (≥ 0.4.11), stats (≥ 4.0.5), tibble (≥ 3.1.5), tidyr (≥ 1.1.4)
Suggests: covr, future (≥ 1.22.1), ggplot2 (≥ 3.3.5), knitr (≥ 1.36), msigdbr (≥ 7.4.1), purrr (≥ 0.3.4), rmarkdown (≥ 2.11)
Published: 2021-12-02
Author: Andrea Carenzo ORCID iD [aut, cre], Loris De Cecco ORCID iD [aut], Federico Pistore [aut]
Maintainer: Andrea Carenzo <andrea.carenzo at gmail.com>
BugReports: https://github.com/Acare/hacksig/issues
License: MIT + file LICENSE
URL: https://github.com/Acare/hacksig
NeedsCompilation: no
Materials: README NEWS
CRAN checks: hacksig results

Documentation:

Reference manual: hacksig.pdf
Vignettes: Introduction to hacksig

Downloads:

Package source: hacksig_0.1.1.tar.gz
Windows binaries: r-devel: hacksig_0.1.1.zip, r-release: hacksig_0.1.1.zip, r-oldrel: hacksig_0.1.1.zip
macOS binaries: r-release (arm64): hacksig_0.1.1.tgz, r-release (x86_64): hacksig_0.1.1.tgz, r-oldrel: hacksig_0.1.1.tgz

Linking:

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