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Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks

BACKGROUND: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly suitable for inferring relationships between cellular variables from the analysis of time series measurements of mRNA or pr...

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Detalles Bibliográficos
Autores principales:	Ferrazzi, Fulvia, Sebastiani, Paola, Ramoni, Marco F, Bellazzi, Riccardo
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2007
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892090/ https://www.ncbi.nlm.nih.gov/pubmed/17570861 http://dx.doi.org/10.1186/1471-2105-8-S5-S2

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