ConnectivityMap
This package is for version 3.13 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: 3.13
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 "4.1") 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 | 1.28.0 |
| 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_1.28.0.tar.gz |
| Windows Binary | |
| macOS 10.13 (High Sierra) | |
| 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/ |
| Package Downloads Report | Download Stats |