ConnectivityMap
This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see ConnectivityMap.
Functional connections between drugs, genes and diseases as revealed by common gene-expression changes
Bioconductor version: 3.8
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 "3.5") 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 |
Details
biocViews | CancerData, ExperimentData, MicroarrayData |
Version | 1.18.0 |
License | GPL-3 |
Depends | R (>= 2.15.1) |
Imports | |
System Requirements | |
URL |
See More
Suggests | RUnit, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | ConnectivityMap_1.18.0.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 [email protected]:packages/ConnectivityMap |
Package Short Url | https://bioconductor.org/packages/ConnectivityMap/ |
Package Downloads Report | Download Stats |