To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("coGPS")

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

coGPS

cancer outlier Gene Profile Sets

Bioconductor version: Release (3.1)

Gene Set Enrichment Analysis of P-value based statistics for outlier gene detection in dataset merged from multiple studies

Author: Yingying Wei, Michael Ochs

Maintainer: Yingying Wei <ywei at jhsph.edu>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("coGPS")

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

browseVignettes("coGPS")

biocViews	DifferentialExpression, Microarray, Software
Version	1.12.0
In Bioconductor since	BioC 2.10 (R-2.15) (3.5 years)
License	GPL-2
Depends	R (>= 2.13.0)
Imports	graphics, grDevices
LinkingTo
Suggests	limma
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	coGPS_1.12.0.tar.gz
Windows Binary	coGPS_1.12.0.zip
Mac OS X 10.6 (Snow Leopard)	coGPS_1.12.0.tgz
Mac OS X 10.9 (Mavericks)	coGPS_1.12.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/coGPS/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/coGPS/
Package Downloads Report	Download Stats

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