To install this package, start R and enter:

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

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

OGSA

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see OGSA.

Outlier Gene Set Analysis

Bioconductor version: 3.4

OGSA provides a global estimate of pathway deregulation in cancer subtypes by integrating the estimates of significance for individual pathway members that have been identified by outlier analysis.

Author: Michael F. Ochs <ochsm at tcnj.edu>

Maintainer: Michael F. Ochs <ochsm at tcnj.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("OGSA")

 

PDF R Script OGSA Users Manual
PDF   Reference Manual

Details

biocViews CopyNumberVariation, GeneExpression, Microarray, Software
Version 1.4.0
In Bioconductor since BioC 3.2 (R-3.2) (1.5 years)
License GPL (== 2)
Depends R (>= 3.2.0)
Imports gplots (>= 2.8.0), limma(>= 3.18.13), Biobase
LinkingTo
Suggests
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 OGSA_1.4.0.tar.gz
Windows Binary OGSA_1.4.0.zip
Mac OS X 10.9 (Mavericks) OGSA_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/OGSA/tree/release-3.4
Package Short Url http://bioconductor.org/packages/OGSA/
Package Downloads Report Download Stats

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