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 package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see RGSEA.

Random Gene Set Enrichment Analysis

Bioconductor version: 3.1

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 R Script Introduction to RGSEA
PDF Reference Manual
Text NEWS

Details

Version 1.2.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License GPL(>=3)
Depends R (>= 2.10.0)
Imports BiocGenerics
LinkingTo
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source RGSEA_1.2.0.tar.gz
Windows Binary RGSEA_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) RGSEA_1.2.0.tgz
Package Downloads Report Download Stats

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