Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism

BACKGROUND: Dynamic Bayesian Networks (DBNs) are widely used in regulatory network structure inference with gene expression data. Current methods assumed that the underlying stochastic processes that generate the gene expression data are stationary. The assumption is not realistic in certain applica...

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Detalles Bibliográficos
Autores principales: Jia, Yi, Huan, Jun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026374/
https://www.ncbi.nlm.nih.gov/pubmed/20946611
http://dx.doi.org/10.1186/1471-2105-11-S6-S27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026374/
https://www.ncbi.nlm.nih.gov/pubmed/20946611
http://dx.doi.org/10.1186/1471-2105-11-S6-S27

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