Optimal sampling time selection for parameter estimation in dynamic pathway modeling.

Details

Serval ID
serval:BIB_57AADB50B4A9
Type
Article: article from journal or magazin.
Collection
Publications
Title
Optimal sampling time selection for parameter estimation in dynamic pathway modeling.
Journal
BioSystems
Author(s)
Kutalik Z., Cho K.H., Wolkenhauer O.
ISSN
0303-2647 (Print)
ISSN-L
0303-2647
Publication state
Published
Issued date
2004
Volume
75
Number
1-3
Pages
43-55
Language
english
Abstract
Systems Biology is an emerging research area, which considers mathematical representations of inter- and intra-cellular dynamics. Among the many research problems that have been addressed, dynamic modeling of signal transduction pathways has received increasing attention. The usual approach to represent intra-cellular dynamics are nonlinear, usually ordinary, differential equations. The purpose of the models is to test and generate hypothesis of specific pathways and it is therefore required to estimate model parameters from experimental data. The experiments to generate data are complex and expensive, as a consequence of which the time series available are usually rather short, with few if any replicates. Almost certainly, not all variables one would like to include in a model can be measured. Parameter estimation is therefore an important research problem in Systems Biology and the focus of this paper. In particular, we are interested in optimizing the sampling time selection in order to minimize the variance of the parameter estimation error. With few sampling time points feasible, their selection is of practical importance in experimental design. Finally, the theoretical results are supported with an application.
Keywords
Computer Simulation, Models, Biological, Signal Transduction, Statistics as Topic, Systems Biology/methods, Time Factors
Pubmed
Web of science
Create date
12/03/2013 12:36
Last modification date
20/08/2019 14:11
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