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.
Citation (from within R, enter citation("DART")):
- Jiao Y, Lawler K, Patel GS, Purushotham A, Jones AF, Grigoriadis A, Tutt A, Ng T, Teschendorff AE. DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference. BMC Bioinformatics 2011 Oct 19;12:403.
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