DOI: 10.18129/B9.bioc.DART    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see DART.

Denoising Algorithm based on Relevance network Topology

Bioconductor version: 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")):


To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))

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


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



PDF R Script DART Tutorial
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software
Version 1.30.0
In Bioconductor since BioC 2.10 (R-2.15) (7 years)
License GPL-2
Depends R (>= 2.10.0), igraph (>= 0.6.0)
Suggests breastCancerVDX, breastCancerMAINZ, Biobase
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

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: