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Dynamic Modeling and Parameter Identification for Biological Networks: Application to the DNA Damage and Repair Processes
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Author(s): Fortunato Bianconi (University of Perugia, Italy), Gabriele Lillacci (University of Perugia, Italy)and Paolo Valigi (University of Perugia, Italy)
Copyright: 2011
Pages: 33
Source title:
Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications
Source Author(s)/Editor(s): Limin Angela Liu (Shanghai Jiao Tong University, China), Dongqing Wei (Shanghai Jiao Tong University, China), Yixue Li (Shanghai Jiao Tong University, China)and Huimin Lei (Shanghai Jiao Tong University, China)
DOI: 10.4018/978-1-60960-491-2.ch021
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Abstract
Then, two different parameter identification techniques are presented for the proposed models. One is based on a least squares procedure, which treats the signals provided by a high gain observer; the other one is based on a Mixed Extended Kalman Filter. Prior to the estimation phase, identifiability and sensitivity analyses are used to determine which parameters can be and/or should be estimated. The procedures are tested and compared by means of data obtained by in silico experiments.
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