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Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization

A common challenge in systems biology is quantifying the effects of unknown parameters and estimating parameter values from data. For many systems, this task is computationally intractable due to expensive model evaluations and large numbers of parameters. In this work, we investigate a new method f...

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Bibliografiske detaljer
Udgivet i:PLoS Comput Biol
Main Authors: Renardy, Marissa, Yi, Tau-Mu, Xiu, Dongbin, Chou, Ching-Shan
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5993324/
https://ncbi.nlm.nih.gov/pubmed/29813055
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006181
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