ssdGSA: Single Sample Directional Gene Set Analysis

A method that inherits the standard gene set variation analysis (GSVA) method and also provides the option to use summary statistics from any analysis (disease vs healthy, lesional side vs nonlesional side, etc..) input to define the direction of gene sets used for directional gene set score calculation for a given disease. Note to use this package, GSVA(>= 1.52.1) is needed to pre-installed. Hanzelmann, S., Castelo, R., and Guinney, J. (2013) <doi:10.1186/1471-2105-14-7>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: GSVA, dplyr, purrr, stringr, tibble, vctrs, stats, tidyselect, utils, clusterProfiler, org.Hs.eg.db
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-07-26
DOI: 10.32614/CRAN.package.ssdGSA
Author: Xingpeng Li [aut, cre], Qi Qian [aut]
Maintainer: Xingpeng Li <xingpeng.li at pfizer.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: ssdGSA results

Documentation:

Reference manual: ssdGSA.pdf
Vignettes: ssdGSA

Downloads:

Package source: ssdGSA_0.1.1.tar.gz
Windows binaries: r-devel: ssdGSA_0.1.1.zip, r-release: ssdGSA_0.1.1.zip, r-oldrel: ssdGSA_0.1.1.zip
macOS binaries: r-release (arm64): ssdGSA_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): ssdGSA_0.1.1.tgz, r-oldrel (x86_64): not available
Old sources: ssdGSA archive

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