Bayesian Parameter Inference by Markov Chain Monte Carlo with Hybrid Fitness Measures: Theory and Test in Apoptosis Signal Transduction Network

When exact values of model parameters in systems biology are not available from experiments, they need to be inferred so that the resulting simulation reproduces the experimentally known phenomena. For the purpose, Bayesian statistics with Markov chain Monte Carlo (MCMC) is a useful method. Biologic...

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Detalles Bibliográficos
Autores principales: Murakami, Yohei, Takada, Shoji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785499/
https://www.ncbi.nlm.nih.gov/pubmed/24086320
http://dx.doi.org/10.1371/journal.pone.0074178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785499/
https://www.ncbi.nlm.nih.gov/pubmed/24086320
http://dx.doi.org/10.1371/journal.pone.0074178

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