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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("coGPS")

 

PDF R Script coGPS
PDF   Reference Manual
Text   NEWS

Details

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  

Package Archives

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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