To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSBenchMark")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.3)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSBenchMark")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GSBenchMark")
R Script | Working with the GSBenchMark package | |
Reference Manual |
biocViews | ExperimentData, MicroarrayData |
Version | 0.106.0 |
License | GPL-2 |
Depends | R (>= 2.13.1) |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | GSReg |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | GSBenchMark_0.106.0.tar.gz |
Windows Binary | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/GSBenchMark/ |
Package Downloads Report | Download Stats |
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