DART (Denoising Algorithm using Relevance network Topology) algorithm

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.


[BioConductor Link]

Maintainer: Katherine Lawler

Citation (from within R, enter citation("DART")):

Y J, K L, GS P, A P and al. e (2011). “DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference.” BMC Bioinformatics, 12, pp. 403.


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PDF: DART Tutorial

PDF: Reference Manua