This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see ccmap.
Bioconductor version: 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")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ccmap")
HTML | R Script | ccmap vignette |
Reference Manual | ||
Text | LICENSE |
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) |
LinkingTo | |
Suggests | crossmeta, knitr, rmarkdown, testthat, lydata |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
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 [email protected]:packages/ccmap |
Bioc Package Browser | https://code.bioconductor.org/browse/ccmap/ |
Package Short Url | https://bioconductor.org/packages/ccmap/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: