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- 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")
In most cases, you don't need to download the package archive at all.
GSBenchMark
|
Gene Set Benchmark
Bioconductor version: 3.2
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("https://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")
| Working with the GSBenchMark package | ||
| Reference Manual |
Details
| biocViews | ExperimentData, MicroarrayData |
| Version | 0.104.0 |
| 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_0.104.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.6 (Snow Leopard) | |
| 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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