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.
Maintainer: Katherine Lawler
Citation (from within R, enter citation("DART")):
Y J, K L, GS P, A P and al. e (2011). “DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference.” BMC Bioinformatics, 12, pp. 403.
To install this package, start R and enter:
To view documentation for the version of this package installed in your system, start R and enter:
PDF: DART Tutorial
PDF: Reference Manua