In this thesis, computational methods for parameter estimation of mathematical models based on ordinary differential equations (ODEs) in systems biology were developed. The main contributions were the transfer and adaptation of mini-batch optimization methods to ODE models, the derivation and application of second order adjoint sensitivity analysis, and the improvement of parameter estimation methods for ODE mixed-effect models. All mathematical methods were implemented in freely available computational toolboxes, tested on and applied to biological modeling applications with real measurement data.
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In this thesis, computational methods for parameter estimation of mathematical models based on ordinary differential equations (ODEs) in systems biology were developed. The main contributions were the transfer and adaptation of mini-batch optimization methods to ODE models, the derivation and application of second order adjoint sensitivity analysis, and the improvement of parameter estimation methods for ODE mixed-effect models. All mathematical methods were implemented in freely available compu...
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