To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ccmap")

In most cases, you don't need to download the package archive at all.

ccmap

DOI: 10.18129/B9.bioc.ccmap

Combination Connectivity Mapping

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ccmap")

Documentation

HTML R Script ccmap vignette

PDF Reference Manual

Text LICENSE

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Software, Transcription

Version 1.2.0

In Bioconductor since BioC 3.4 (R-3.3) (1 year)

License MIT + file LICENSE

Depends

Imports AnnotationDbi(>= 1.36.2), BiocInstaller(>= 1.24.0), 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)

LinkingTo

Suggests crossmeta, knitr, rmarkdown, testthat, lydata

SystemRequirements

Enhances

URL

Depends On Me

Imports Me crossmeta

Suggests Me

Build Report