To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("ccmap")

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

ccmap

 

   

This is the development version of ccmap; for the stable release version, see ccmap.

Combination Connectivity Mapping

Bioconductor version: Development (3.6)

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("http://bioc.ism.ac.jp/biocLite.R")
biocLite("ccmap")

Documentation

HTML R Script ccmap vignette
PDF   Reference Manual
Text   LICENSE

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Software, Transcription
Version 1.3.0
In Bioconductor since BioC 3.4 (R-3.3) (0.5 years)
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  

Package Archives

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

Package Source ccmap_1.3.0.tar.gz
Windows Binary ccmap_1.3.0.zip
Mac OS X 10.11 (El Capitan) ccmap_1.3.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ccmap
Package Short Url http://bioconductor.org/packages/ccmap/
Package Downloads Report Download Stats

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