Parameter Estimation in Systems Biology Models by Using Extended Kalman Filter

Michal Capinski; Andrzej Polański

doi:10.1007/978-3-319-23437-3_16

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Parameter Estimation in Systems Biology Models by Using Extended Kalman Filter

Michal Capinski Andrzej Polański

Year: 2015 Advances in intelligent systems and computing Pages: 195-204 Publisher: Springer Nature

DOI: 10.1007/978-3-319-23437-3_16

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Keywords:

Ode Kalman filter Ordinary differential equation Estimation theory Applied mathematics Nonlinear system Systems biology Maxima and minima Dynamical systems theory Convergence (economics) Computer science Mathematical optimization Differential equation Mathematics Algorithm Biology Artificial intelligence Physics Bioinformatics Mathematical analysis

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Gene Regulatory Network Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Advanced Control Systems Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Parameter Estimation in Systems Biology Models by Using Extended Kalman Filter

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