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: 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:

source("http://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)
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center