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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| 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 |