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A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks
We compare three state-of-the-art Bayesian inference methods for the estimation of the unknown parameters in a stochastic model of a genetic network. In particular, we introduce a stochastic version of the paradigmatic synthetic multicellular clock model proposed by Ullner et al., 2007. By introduci...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552360/ https://www.ncbi.nlm.nih.gov/pubmed/28797087 http://dx.doi.org/10.1371/journal.pone.0182015 |