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 3.4 of Bioconductor; for the stable, up-to-date release version, see KEGGandMetacoreDzPathwaysGEO.
Bioconductor version: 3.4
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")
    
| R Script | KEGGandMetacoreDzPathwaysGEO Vignette | |
| Reference Manual | 
| biocViews | ExperimentData, GEO | 
| Version | 0.108.0 | 
| License | GPL-2 | 
| Depends | R (>= 2.15.0) | 
| Imports | Biobase, BiocGenerics | 
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Package Source | KEGGandMetacoreDzPathwaysGEO_0.108.0.tar.gz | 
| Windows Binary | |
| 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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