To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("KEGGandMetacoreDzPathwaysGEO")

In most cases, you don't need to download the package archive at all.

KEGGandMetacoreDzPathwaysGEO

 

Disease Datasets from GEO

Bioconductor version: Release (3.1)

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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("KEGGandMetacoreDzPathwaysGEO")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("KEGGandMetacoreDzPathwaysGEO")

 

PDF KEGGandMetacoreDzPathwaysGEO Vignette
PDF   Reference Manual

Details

biocViews ExperimentData, GEO
Version 0.102.0
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  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source KEGGandMetacoreDzPathwaysGEO_0.102.0.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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