DOI: 10.18129/B9.bioc.DART  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see DART.

Denoising Algorithm based on Relevance network Topology

Bioconductor version: 3.16

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")):


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PDF R Script DART Tutorial
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software
Version 1.46.0
In Bioconductor since BioC 2.10 (R-2.15) (11 years)
License GPL-2
Depends R (>= 2.10.0), igraph (>= 0.6.0)
Suggests breastCancerVDX, breastCancerMAINZ, Biobase
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Source Package DART_1.46.0.tar.gz
Windows Binary DART_1.46.0.zip
macOS Binary (x86_64) DART_1.46.0.tgz
macOS Binary (arm64) DART_1.46.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DART
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DART
Bioc Package Browser https://code.bioconductor.org/browse/DART/
Package Short Url https://bioconductor.org/packages/DART/
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