High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

BACKGROUND: Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good...

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Detalles Bibliográficos
Autores principales: Lo, Leung-Yau, Wong, Man-Leung, Lee, Kin-Hong, Leung, Kwong-Sak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4659244/
https://www.ncbi.nlm.nih.gov/pubmed/26608050
http://dx.doi.org/10.1186/s12859-015-0823-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4659244/
https://www.ncbi.nlm.nih.gov/pubmed/26608050
http://dx.doi.org/10.1186/s12859-015-0823-6

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