ConnectivityMap

DOI: 10.18129/B9.bioc.ConnectivityMap    

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

Bioconductor version: Release (3.7)

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 systemsbiology.org>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ConnectivityMap")

Documentation

PDF   Reference Manual

Details

biocViews CancerData, ExperimentData, MicroarrayData
Version 1.16.0
License GPL-3
Depends R (>= 2.15.1)
Imports
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package ConnectivityMap_1.16.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/ConnectivityMap
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ConnectivityMap
Package Short Url http://bioconductor.org/packages/ConnectivityMap/
Package Downloads Report Download Stats

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