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CGBayesNets: conditional Gaussian Bayesian network learning and inference with mixed discrete and continuous data.

PLoS computational biology - 1 Jun 2014

McGeachie Michael J, Chang Hsun-Hsien, Weiss Scott T

Abstract excerpt

Bayesian Networks (BN) have been a popular predictive modeling formalism in bioinformatics, but their application in modern genomics has been slowed by an inability to cleanly handle domains with mixed discrete and continuous variables. Existing free BN software packages either discretize continuous variables, which can lead to information loss, or do not include inference routines, which makes prediction with...

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PMID: 24922310
DOI: 10.1371/journal.pcbi.1003676
PMCID: PMC4055564

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