GSALightning

This is the development version of GSALightning; for the stable release version, see GSALightning.

Fast Permutation-based Gene Set Analysis


Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews BiologicalQuestion, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Transcription
Version 1.35.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 years)
License GPL (>=2)
Depends R (>= 3.3.0)
Imports Matrix, data.table, stats
System Requirements
URL https://github.com/billyhw/GSALightning
Bug Reports https://github.com/billyhw/GSALightning/issues
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Suggests knitr, rmarkdown
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Build Report Build Report

Package Archives

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

Source Package GSALightning_1.35.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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