Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks

BACKGROUND: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a cell. In order to understand the underlying function of organisms, it is necessary to study the behavior of genes in a g...

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Bibliographic Details
Main Authors:	Li, Peng, Zhang, Chaoyang, Perkins, Edward J, Gong, Ping, Deng, Youping
Format:	Artigo
Language:	Inglês
Published:	BioMed Central 2007
Subjects:	Proceedings
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC2099481/ https://ncbi.nlm.nih.gov/pubmed/18047712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-S7-S13
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Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks

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