Assessing uncertainty in model parameters based on sparse and noisy experimental data

To perform parametric identification of mathematical models of biological events, experimental data are rare to be sufficient to estimate target behaviors produced by complex nonlinear systems. We performed parameter fitting to a cell cycle model with experimental data as an in silico experiment. We...

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Principais autores:	Noriko eHiroi, Maciej eSwat, Akira eFunahashi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2014-04-01
Colecção:	Frontiers in Physiology
Assuntos:	sensitivity analysis bifurcation analysis parametric identification Generalized Least Squares Fisher Information Matrix
Acesso em linha:	http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00128/full
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