Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions

We present a novel surrogate modeling method that can be used to accelerate the solution of uncertainty quantification (UQ) problems arising in nonlinear and non-smooth models of biological systems. In particular, we focus on dynamic flux balance analysis (DFBA) models that couple intracellular flux...

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Detalles Bibliográficos
Autores principales: Paulson, Joel A., Martin-Casas, Marc, Mesbah, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742419/
https://www.ncbi.nlm.nih.gov/pubmed/31469832
http://dx.doi.org/10.1371/journal.pcbi.1007308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742419/
https://www.ncbi.nlm.nih.gov/pubmed/31469832
http://dx.doi.org/10.1371/journal.pcbi.1007308

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