GSALightning

DOI: 10.18129/B9.bioc.GSALightning  

Fast Permutation-based Gene Set Analysis

Bioconductor version: Release (3.17)

GSALightning provides a fast implementation of permutation-based gene set analysis for two-sample problem. This package is particularly useful when testing simultaneously a large number of gene sets, or when a large number of permutations is necessary for more accurate p-values estimation.

Author: Billy Heung Wing Chang

Maintainer: Billy Heung Wing Chang <billyheungwing at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GSALightning")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSALightning")

 

HTML R Script Vignette Title
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews BiologicalQuestion, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Transcription
Version 1.28.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License GPL (>=2)
Depends R (>= 3.3.0)
Imports Matrix, data.table, stats
LinkingTo
Suggests knitr, rmarkdown
SystemRequirements
Enhances
URL https://github.com/billyhw/GSALightning
BugReports https://github.com/billyhw/GSALightning/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSALightning_1.28.0.tar.gz
Windows Binary GSALightning_1.28.0.zip (64-bit only)
macOS Binary (x86_64) GSALightning_1.28.0.tgz
macOS Binary (arm64) GSALightning_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GSALightning
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSALightning
Bioc Package Browser https://code.bioconductor.org/browse/GSALightning/
Package Short Url https://bioconductor.org/packages/GSALightning/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.17 Source Archive

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