DOI: 10.18129/B9.bioc.DART  

This is the development version of DART; for the stable release version, see DART.

Denoising Algorithm based on Relevance network Topology

Bioconductor version: Development (3.18)

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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biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software
Version 1.49.0
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_1.49.0.tar.gz
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