CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous Data

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...

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Detalles Bibliográficos
Autores principales: McGeachie, Michael J., Chang, Hsun-Hsien, Weiss, Scott T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055564/
https://www.ncbi.nlm.nih.gov/pubmed/24922310
http://dx.doi.org/10.1371/journal.pcbi.1003676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055564/
https://www.ncbi.nlm.nih.gov/pubmed/24922310
http://dx.doi.org/10.1371/journal.pcbi.1003676

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