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

DART

Denoising Algorithm based on Relevance network Topology

Bioconductor version: 2.13

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

Maintainer: Katherine Lawler <katherine.lawler at kcl.ac.uk>

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	Bioinformatics, DifferentialExpression, GeneExpression, GraphsAndNetworks, Pathways, Software
Version	1.8.0
In Bioconductor since	BioC 2.10 (R-2.15)
License	GPL-2
Depends	R (>= 2.10.0), igraph (>= 0.6.0)
Imports
Suggests	breastCancerVDX, breastCancerMAINZ, Biobase
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	DART_1.8.0.tar.gz
Windows Binary	DART_1.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	DART_1.8.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats