To install this package, start R and enter:

## try http if https is not available
source("https://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: Release (3.1)

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:

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

Documentation


PDF		Reference Manual

Details

biocViews	CancerData, ExperimentData, MicroarrayData
Version	1.4.0
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_1.4.0.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/ConnectivityMap/
Package Downloads Report	Download Stats

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