Package: ConnectivityMap 1.48.0

Paul Shannon

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

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.

Authors:Paul Shannon

ConnectivityMap_1.48.0.tar.gz
ConnectivityMap_1.48.0.tar.gz(r-4.7-any)ConnectivityMap_1.48.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ConnectivityMap/json (API)

# Install 'ConnectivityMap' in R:
install.packages('ConnectivityMap', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • instances - ConnectivityMap: Functional connections between drugs, genes and diseases as revealed by common gene-expression changes
  • rankMatrix - ConnectivityMap: Functional connections between drugs, genes and diseases as revealed by common gene-expression changes

On BioConductor:ConnectivityMap-1.49.1(data/experiment 3.24)ConnectivityMap-1.48.0(data/experiment 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

experimentdatacancerdatamicroarraydatadatapkg

2.30 score 6 scripts 0 exports 0 dependencies

Last updated from:6281fd3faa (on RELEASE_3_23). Checks:1 ERROR, 3 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR127
linux-develOK339
source / vignettesOK991
linux-releaseOK270

Exports:

Dependencies: