Modelling non-Markovian dynamics in biochemical reactions

BACKGROUND: Biochemical reactions are often modelled as discrete-state continuous-time stochastic processes evolving as memoryless Markov processes. However, in some cases, biochemical systems exhibit non-Markovian dynamics. We propose here a methodology for building stochastic simulation algorithms...

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Detalles Bibliográficos
Autores principales: Chiarugi, Davide, Falaschi, Moreno, Hermith, Diana, Olarte, Carlos, Torella, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464211/
https://www.ncbi.nlm.nih.gov/pubmed/26051249
http://dx.doi.org/10.1186/1752-0509-9-S3-S8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464211/
https://www.ncbi.nlm.nih.gov/pubmed/26051249
http://dx.doi.org/10.1186/1752-0509-9-S3-S8

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