Article,

Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics

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BMC Systems Biology, 9 (1): 65+ (Sep 29, 2015)
DOI: 10.1186/s12918-015-0205-8

Abstract

Compared to engineering or physics problems, dynamical models in quantitative biology typically depend on a relatively large number of parameters. Progress in developing mathematics to manipulate such multi-parameter models and so enable their efficient interplay with experiments has been slow. Existing solutions are significantly limited by model size.

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