Bioconductor version: Release (3.6)
Denoising Algorithm based on Relevance network Topology (DART) is an algorithm designed to evaluate the consistency of prior information molecular signatures (e.g in-vitro perturbation expression signatures) in independent molecular data (e.g gene expression data sets). If consistent, a pruning network strategy is then used to infer the activation status of the molecular signature in individual samples.
Author: Yan Jiao, Katherine Lawler, Andrew E Teschendorff, Charles Shijie Zheng
Maintainer: Charles Shijie Zheng <charles_zheng at live.com>
Citation (from within R,
enter citation("DART")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DART")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DART")
R Script | DART Tutorial | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software |
Version | 1.26.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (6 years) |
License | GPL-2 |
Depends | R (>= 2.10.0), igraph (>= 0.6.0) |
Imports | |
LinkingTo | |
Suggests | breastCancerVDX, breastCancerMAINZ, Biobase |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | DART_1.26.0.tar.gz |
Windows Binary | DART_1.26.0.zip |
Mac OS X 10.11 (El Capitan) | DART_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DART |
Package Short Url | http://bioconductor.org/packages/DART/ |
Package Downloads Report | Download Stats |
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