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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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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Lo, Leung-Yau, Wong, Man-Leung, Lee, Kin-Hong, Leung, Kwong-Sak
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2015
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4659244/
https://ncbi.nlm.nih.gov/pubmed/26608050
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0823-6
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