DART

Denoising Algorithm based on Relevance network Topology

Bioconductor version: Release (2.11)

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.

Author: Yan Jiao, Katherine Lawler, Andrew E Teschendorff

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

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("DART")

Documentation

Details

Package Downloads