Package: ConnectivityMap 1.49.1
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:
ConnectivityMap_1.49.1.tar.gz
ConnectivityMap_1.49.1.tar.gz(r-4.7-any)ConnectivityMap_1.49.1.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.r-universe.dev', 'https://cloud.r-project.org')) |
- 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
Last updated from:b4fefee7c9. Checks:1 ERROR, 3 OK. Indexed: yes.
This is a data package. Data packages may be large and do not get checked across all platforms.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 156 | ||
| linux-devel | OK | 358 | ||
| source / vignettes | OK | 941 | ||
| linux-release | OK | 346 |
Exports:
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ConnectivityMap: Functional connections between drugs, genes and diseases as revealed by common gene-expression changes | ConnectivityMap instances rankMatrix |