To install this package, start R and enter:

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

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

RGSEA

 

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

Random Gene Set Enrichment Analysis

Bioconductor version: Development (3.3)

Combining bootstrap aggregating and Gene set enrichment analysis (GSEA), RGSEA is a classfication algorithm with high robustness and no over-fitting problem. It performs well especially for the data generated from different exprements.

Author: Chengcheng Ma

Maintainer: Chengcheng Ma <ccma at sibs.ac.cn>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("RGSEA")

 

PDF Introduction to RGSEA
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, GeneSetEnrichment, Software, StatisticalMethod
Version 1.5.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License GPL(>=3)
Depends R (>= 2.10.0)
Imports BiocGenerics
LinkingTo
Suggests BiocStyle, GEOquery, knitr, RUnit
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source RGSEA_1.5.0.tar.gz
Windows Binary RGSEA_1.5.0.zip
Mac OS X 10.6 (Snow Leopard) RGSEA_1.3.0.tgz
Mac OS X 10.9 (Mavericks) RGSEA_1.5.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/RGSEA
Package Short Url http://bioconductor.org/packages/RGSEA/
Package Downloads Report Download Stats

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