To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("KEGGdzPathwaysGEO")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This is a collection of 24 data sets for which the phenotype is a disease with a corresponding pathway in the KEGG database.This collection of datasets were used as gold standard in comparing gene set analysis methods by the PADOG package.
Author: Gaurav Bhatti, Adi L. Tarca
Maintainer: Gaurav Bhatti <gbhatti at med.wayne.edu>
Citation (from within R,
enter citation("KEGGdzPathwaysGEO")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("KEGGdzPathwaysGEO")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("KEGGdzPathwaysGEO")
Reference Manual |
biocViews | ExperimentData |
Version | 1.1.3 |
License | GPL-2 |
Depends | R (>= 2.13.0) |
Imports | Biobase, BiocGenerics |
Suggests | |
System Requirements | |
URL | |
Depends On Me | PADOG |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | KEGGdzPathwaysGEO_1.1.3.tar.gz |
Windows Binary | KEGGdzPathwaysGEO_1.1.3.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | KEGGdzPathwaysGEO_1.1.3.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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