DART: Denoising Algorithm based on Relevance network Topology
Version 1.24.0

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>
LicenseGPL-2
Version1.24.0
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 May 31, 2017, 3:30 p.m.