Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks

We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC) clades. The proposed knowledge-based Bayesian network (KBBN) treats sets of expert rules as prior distributions on the classes. Unlike prior knowledge-bas...

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Detalles Bibliográficos
Autores principales: Aminian, Minoo, Couvin, David, Shabbeer, Amina, Hadley, Kane, Vandenberg, Scott, Rastogi, Nalin, Bennett, Kristin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016944/
https://www.ncbi.nlm.nih.gov/pubmed/24864238
http://dx.doi.org/10.1155/2014/398484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016944/
https://www.ncbi.nlm.nih.gov/pubmed/24864238
http://dx.doi.org/10.1155/2014/398484

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