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]>
LicenseGPL-2
Version1.30.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("DART")

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DART documentation built on Nov. 1, 2018, 4:30 a.m.