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Novel Monte Carlo approach quantifies data assemblage utility and reveals power of integrating molecular and clinical information for cancer prognosis. (2015)

First Author: Verleyen W

Attributed to: Advancing Bayesian network algorithms for inferring gene regulation using an integrative computational-biological approach in a yeast model system funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/srep15563

PubMed Identifier: 26503707

Publication URI: http://europepmc.org/abstract/MED/26503707

Type: Journal Article/Review

Volume: 5

Parent Publication: Scientific reports

ISSN: 2045-2322