DART

DOI: 10.18129/B9.bioc.DART    

Denoising Algorithm based on Relevance network Topology

Bioconductor version: Release (3.8)

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 (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("DART", version = "3.8")

For older versions of R, please refer to the appropriate Bioconductor release.

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 1.30.0
In Bioconductor since BioC 2.10 (R-2.15) (6.5 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
Links To Me
Build Report  

Package Archives

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

Source Package DART_1.30.0.tar.gz
Windows Binary DART_1.30.0.zip
Mac OS X 10.11 (El Capitan) DART_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DART
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DART
Package Short Url http://bioconductor.org/packages/DART/
Package Downloads Report Download Stats

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