To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("KEGGandMetacoreDzPathwaysGEO")
In most cases, you don't need to download the package archive at all.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see KEGGandMetacoreDzPathwaysGEO.
Bioconductor version: 3.2
This is a collection of 18 data sets for which the phenotype is a disease with a corresponding pathway in either KEGG or metacore database.This collection of datasets were used as gold standard in comparing gene set analysis methods.
Author: Gaurav Bhatti
Maintainer: Gaurav Bhatti <gbhatti at med.wayne.edu>
Citation (from within R,
enter citation("KEGGandMetacoreDzPathwaysGEO")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("KEGGandMetacoreDzPathwaysGEO")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("KEGGandMetacoreDzPathwaysGEO")
KEGGandMetacoreDzPathwaysGEO Vignette | ||
Reference Manual |
biocViews | ExperimentData, GEO |
Version | 0.104.0 |
License | GPL-2 |
Depends | R (>= 2.15.0) |
Imports | Biobase, BiocGenerics |
LinkingTo | |
Suggests | |
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Enhances | |
URL | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | KEGGandMetacoreDzPathwaysGEO_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/KEGGandMetacoreDzPathwaysGEO/ |
Package Downloads Report | Download Stats |
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