Jiao Y, Lawler K, Patel G, Purushotham A and others (2011). “DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference.” BMC Bioinformatics, 12, pp. 403. http://dx.doi.org/10.1186/1471-2105-12-403, http://www.biomedcentral.com/1471-2105/12/403.

AE T, L L and Z Y (2015). “Denoising perturbation signatures reveals an actionable AKT-signaling gene module underlying a poor clinical outcome in endocrine treated ER+ breast cancer.” Genome Biology, 16, pp. 61. http://dx.doi.org/10.1186/s13059-015-0630-4, http://genomebiology.com/2015/16/1/61.

Teschendorff A, Gomez S, Arenas A, El-Ashry D, Schmidt M and others (2010). “Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules.” BMC Cancer, 10, pp. 604. Additional citation for DART methods., http://www.biomedcentral.com/1471-2407/10/604.