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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Bibliografiske detaljer

Principais autores:	Noriko eHiroi, Maciej eSwat, Akira eFunahashi
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2014-04-01
Serier:	Frontiers in Physiology
Fag:	sensitivity analysis bifurcation analysis parametric identification Generalized Least Squares Fisher Information Matrix
Online adgang:	http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00128/full
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