DART: Denoising Algorithm based on Relevance network Topology

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.

Package details

AuthorYan Jiao, Katherine Lawler, Andrew E Teschendorff, Charles Shijie Zheng
Bioconductor views DifferentialExpression GeneExpression GraphAndNetwork Pathways
MaintainerCharles Shijie Zheng <[email protected]>
Package repositoryView on Bioconductor
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DART documentation built on Oct. 31, 2019, 2:34 a.m.