To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSALightning")

In most cases, you don't need to download the package archive at all.

GSALightning

 

   

Fast Permutation-based Gene Set Analysis

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSALightning")

Documentation

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

Details

biocViews BiologicalQuestion, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Transcription
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1 year)
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
Build Report  

Package Archives

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

Package Source GSALightning_1.4.0.tar.gz
Windows Binary GSALightning_1.4.0.zip
Mac OS X 10.11 (El Capitan) GSALightning_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GSALightning/tree/release-3.5
Package Short Url http://bioconductor.org/packages/GSALightning/
Package Downloads Report Download Stats

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