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 | 
 
  
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