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: 3.0

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	1.1.1
License	GPL-3
Depends	R (>= 2.15.1)
Imports
LinkingTo
Suggests	RUnit, BiocGenerics
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	ConnectivityMap_1.1.1.tar.gz
Windows Binary	ConnectivityMap_1.1.1.zip
Mac OS X 10.6 (Snow Leopard)	ConnectivityMap_1.1.1.tgz
Mac OS X 10.9 (Mavericks)	ConnectivityMap_1.1.1.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats

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