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ConnectivityMap

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

Bioconductor version: Release (3.17)

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 (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ConnectivityMap")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews CancerData, ExperimentData, MicroarrayData
Version 1.36.0
License GPL-3
Depends R (>= 2.15.1)
Imports
Linking To
Suggests RUnit, BiocGenerics
System Requirements
Enhances
URL
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Depends On Me
Imports Me
Suggests Me
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Build Report  

Package Archives

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

Source Package ConnectivityMap_1.36.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
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 https://bioconductor.org/packages/ConnectivityMap/
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