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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| 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 |