This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

ccmap

Combination Connectivity Mapping

Bioconductor version: Release (3.17)

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 "4.3") 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 1.26.0
In Bioconductor since BioC 3.4 (R-3.3) (7 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)
Linking To
Suggests crossmeta, knitr, rmarkdown, testthat, lydata
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package ccmap_1.26.0.tar.gz
Windows Binary ccmap_1.26.0.zip (64-bit only)
macOS Binary (x86_64) ccmap_1.26.0.tgz
macOS Binary (arm64) ccmap_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ccmap
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ccmap
Bioc Package Browser https://code.bioconductor.org/browse/ccmap/
Package Short Url https://bioconductor.org/packages/ccmap/
Package Downloads Report Download Stats