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 <charles_zheng@live.com>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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DART documentation built on Nov. 8, 2020, 5:06 p.m.