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:	0.1.2
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:	2022-02-17
Author:	Andrea Carenzo [aut, cre], Loris De Cecco [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_0.1.2.tar.gz
Windows binaries:	r-devel: hacksig_0.1.2.zip, r-release: hacksig_0.1.2.zip, r-oldrel: hacksig_0.1.2.zip
macOS binaries:	r-release (arm64): hacksig_0.1.2.tgz, r-oldrel (arm64): hacksig_0.1.2.tgz, r-release (x86_64): hacksig_0.1.2.tgz, r-oldrel (x86_64): hacksig_0.1.2.tgz
Old sources:	hacksig archive

Linking:

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