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.


DART

[BioConductor Link]

Maintainer: Katherine Lawler <katherine.lawler at kcl.ac.uk>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DART")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DART")

PDF: DART Tutorial

PDF: Reference Manual