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
|
Random Gene Set Enrichment Analysis
Bioconductor version: 3.2
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")
| Introduction to RGSEA | ||
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Classification, GeneSetEnrichment, Software, StatisticalMethod |
| Version | 1.4.0 |
| 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_1.4.0.tar.gz |
| Windows Binary | RGSEA_1.4.0.zip |
| Mac OS X 10.6 (Snow Leopard) | RGSEA_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | RGSEA_1.4.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/RGSEA/tree/release-3.2 |
| Package Short Url | http://bioconductor.org/packages/RGSEA/ |
| Package Downloads Report | Download Stats |
Documentation »
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