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

 

   

Combination Connectivity Mapping

Bioconductor version: Release (3.4)

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 1.0.0
In Bioconductor since BioC 3.4 (R-3.3) (< 6 months)
License MIT + file LICENSE
Depends
Imports AnnotationDbi(>= 1.34.4), BiocInstaller, ccdata(>= 0.99.4), doParallel (>= 1.0.10), data.table (>= 1.9.6), foreach (>= 1.4.3), parallel (>= 3.3.1), xgboost (>= 0.4.4)
LinkingTo
Suggests crossmeta, knitr, rmarkdown, testthat, lydata
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source ccmap_1.0.0.tar.gz
Windows Binary ccmap_1.0.0.zip
Mac OS X 10.9 (Mavericks) ccmap_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ccmap/tree/release-3.4
Package Short Url http://bioconductor.org/packages/ccmap/
Package Downloads Report Download Stats

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