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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ConnectivityMap")
In most cases, you don't need to download the package archive at all.
ConnectivityMap
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Functional connections between drugs, genes and diseases as revealed by common gene-expression changes
Bioconductor version: Release (3.5)
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
| Reference Manual |
Details
| biocViews | CancerData, ExperimentData, MicroarrayData |
| Version | 1.12.0 |
| 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.
| Source Package | ConnectivityMap_1.12.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.11 (El Capitan) | |
| Source Repository | git clone https://git.bioconductor.org/packages/ConnectivityMap |
| Package Short Url | http://bioconductor.org/packages/ConnectivityMap/ |
| Package Downloads Report | Download Stats |
Documentation »
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