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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fang-Xiang Wu Lei Mu Ruizhi Luo |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Mech. Eng., Saskatchewan, Univ., Saskatoon, SK (Fang-Xiang Wu; Lei Mu; Ruizhi Luo) |
| Abstract | A biological system describes the dynamics of a biological process and can be modeled by a group of nonlinear differential equations. The nonlinear terms in differential equations of a biological system result from the reaction rates which can not be measured and yet contain important parameters to be identified. In practice, not all states are measured because of the limitation of experimental conditions and cost. In this paper, we develop a methodology for complexity analysis and optimal experimental design to maximize the number of identifiable parameters in the reaction rates while minimizing the number of states which must be measured. We use the model of the programmed cell death or apoptosis as an instance to illustrate the proposed method. The analysis shows that the results from our proposed method are better than those from the existing methods. |
| Starting Page | 000393 |
| Ending Page | 000398 |
| File Size | 138016 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416424 |
| ISSN | 08407789 |
| DOI | 10.1109/CCECE.2008.4564564 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-04 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design for experiments Parameter estimation Biological systems Biological system modeling Biological processes Mathematical model State estimation Biomedical measurements Nonlinear dynamical systems Differential equations stoichiometric matrix Complexity analysis experimental design parameter estimation caspase model reaction rates |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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