To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("GSBenchMark")

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

GSBenchMark

Gene Set Benchmark

Bioconductor version: 3.0

Benchmarks for Machine Learning Analysis of the Gene Sets. The package contains a list of pathways and gene expression data sets used in "Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC)" (2010) by Eddy et al.

Author: Bahman Afsari <bahman at jhu.edu>, Elana J. Fertig <ejfertig at jhmi.edu>

Maintainer: Bahman Afsari <bahman at jhu.edu>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("GSBenchMark")

Documentation

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

browseVignettes("GSBenchMark")

PDF	R Script	Working with the GSBenchMark package
PDF		Reference Manual

Details

biocViews	ExperimentData, GeneExpression, GeneRegulation, Microarray, Pathways
Version	1.0.0
License	GPL-2
Depends	R (>= 2.13.1)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	GSReg
Build Report

Package Archives

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

Package Source	GSBenchMark_1.0.0.tar.gz
Windows Binary	GSBenchMark_1.0.0.zip
Mac OS X 10.6 (Snow Leopard)	GSBenchMark_1.0.0.tgz
Mac OS X 10.9 (Mavericks)	GSBenchMark_1.0.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats

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