To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("ConnectivityMap")

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

ConnectivityMap

Functional connections between drugs, genes and diseases as revealed by common gene-expression changes

Bioconductor version: 2.14

The Broad Institute's Connectivity Map (cmap02) is a "large reference catalogue of gene-expression data from cultured human cells perturbed with many chemicals and genetic reagents", containing more than 7000 gene expression profiles and 1300 small molecules.

Author: Paul Shannon

Maintainer: Paul Shannon<pshannon at fhcrc.org>

Citation (from within R, enter citation("ConnectivityMap")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("ConnectivityMap")

Documentation

PDF   Reference Manual

Details

biocViews ExperimentData, GeneExpression, Microarray
Version 1.0.0
License GPL-3
Depends R (>= 2.15.1)
Imports
Suggests RUnit, BiocGenerics
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source ConnectivityMap_1.0.0.tar.gz
Windows Binary ConnectivityMap_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) ConnectivityMap_1.0.0.tgz
Mac OS X 10.9 (Mavericks) ConnectivityMap_1.0.0.tgz
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