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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ccmap")
HTML | R Script | ccmap vignette |
Reference Manual | ||
Text | LICENSE |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | ccmap_1.2.0.tar.gz |
Windows Binary | ccmap_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | ccmap_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ccmap |
Package Short Url | http://bioconductor.org/packages/ccmap/ |
Package Downloads Report | Download Stats |
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