ccmap

Combination Connectivity Mapping


Bioconductor version: Release (3.19)

Finds drugs and drug combinations that are predicted to reverse or mimic gene expression signatures. These drugs might reverse diseases or mimic healthy lifestyles.

Author: Alex Pickering

Maintainer: Alex Pickering <alexvpickering at gmail.com>

Citation (from within R, enter citation("ccmap")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ccmap")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ccmap")
ccmap vignette HTML R Script
Reference Manual PDF
LICENSE Text

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Software, Transcription
Version 1.30.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License MIT + file LICENSE
Depends
Imports AnnotationDbi(>= 1.36.2), BiocManager (>= 1.30.4), ccdata(>= 1.1.2), doParallel (>= 1.0.10), data.table (>= 1.10.4), foreach (>= 1.4.3), parallel (>= 3.3.3), xgboost (>= 0.6.4), lsa (>= 0.73.1)
System Requirements
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Suggests crossmeta, knitr, rmarkdown, testthat, lydata
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ccmap_1.30.0.tar.gz
Windows Binary (x86_64) ccmap_1.30.0.zip
macOS Binary (x86_64) ccmap_1.30.0.tgz
macOS Binary (arm64) ccmap_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ccmap
Source Repository (Developer Access) git clone [email protected]:packages/ccmap
Bioc Package Browser https://code.bioconductor.org/browse/ccmap/
Package Short Url https://bioconductor.org/packages/ccmap/
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