Structural identifiability of cyclic graphical models of biological networks with latent variables

BACKGROUND: Graphical models have long been used to describe biological networks for a variety of important tasks such as the determination of key biological parameters, and the structure of graphical model ultimately determines whether such unknown parameters can be unambiguously obtained from expe...

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Detalles Bibliográficos
Autores principales: Wang, Yulin, Lu, Na, Miao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906697/
https://www.ncbi.nlm.nih.gov/pubmed/27296452
http://dx.doi.org/10.1186/s12918-016-0287-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906697/
https://www.ncbi.nlm.nih.gov/pubmed/27296452
http://dx.doi.org/10.1186/s12918-016-0287-y

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