To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("GSBenchMark")

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

GSBenchMark

 

This is the development version of GSBenchMark; for the stable release version, see GSBenchMark.

Gene Set Benchmark

Bioconductor version: Development (3.6)

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:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/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, MicroarrayData
Version 0.111.0
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_0.111.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Subversion source (username/password: readonly)
Package Short Url http://bioconductor.org/packages/GSBenchMark/
Package Downloads Report Download Stats

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