To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DART")

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

DART

Denoising Algorithm based on Relevance network Topology

Bioconductor version: Release (3.1)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DART")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DART")

 

PDF R Script DART Tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software
Version 1.16.0
In Bioconductor since BioC 2.10 (R-2.15)
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  

Package Archives

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

Package Source DART_1.16.0.tar.gz
Windows Binary DART_1.16.0.zip
Mac OS X 10.6 (Snow Leopard) DART_1.16.0.tgz
Mac OS X 10.9 (Mavericks) DART_1.16.0.tgz
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