DART

DOI: 10.18129/B9.bioc.DART    

Denoising Algorithm based on Relevance network Topology

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	1.26.0
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

Package Archives

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