<p>Software to reproduce the results presented in the paper "Benchmarking optimization methods for parameter estimation in large kinetic models". It includes two MATLAB toolboxes: AMICI and MEIGO, as well as MATLAB code to define the optimizations and to report the results as figures, tables, and summary files.</p
[Background] Kinetic models of biochemical systems usually consist of ordinary diff...
Advancements in data collection and high performance computing are making sophisticated model calibr...
This thesis deals with design of appropriate optimization algorithms for purposes of newly developed...
Software to reproduce the results presented in the paper "Benchmarking optimization methods for para...
MOTIVATION: Kinetic models contain unknown parameters that are estimated by optimizing the fit to ex...
Background: Kinetic models with predictive ability are important to be used in industrial biotechnol...
Background: Kinetic models with predictive ability are important to be used in industrial biotechnol...
A common problem in model verification is to determine the values of model parameters that provide t...
This paper presents KIPET (Kinetic Parameter Estimation Toolkit) an open-source toolbox for the dete...
This thesis deals with parameters estimation search problematics. Newly-made software is proposed wi...
Background: Kinetic modeling is a powerful tool for understanding the dynamic behavior of biochemica...
Background: Kinetic modeling is a powerful tool for understanding the dynamic behavior of biochemica...
Computational models in systems biology are usually characterized by a lack of reliable parameter va...
The aim of this work is to test the Levemberg Marquardt and BFGS (Broyden Fletcher Goldfarb Shanno) ...
Parameter estimation algorithms integrated in automated platforms for kinetic model identification a...
[Background] Kinetic models of biochemical systems usually consist of ordinary diff...
Advancements in data collection and high performance computing are making sophisticated model calibr...
This thesis deals with design of appropriate optimization algorithms for purposes of newly developed...
Software to reproduce the results presented in the paper "Benchmarking optimization methods for para...
MOTIVATION: Kinetic models contain unknown parameters that are estimated by optimizing the fit to ex...
Background: Kinetic models with predictive ability are important to be used in industrial biotechnol...
Background: Kinetic models with predictive ability are important to be used in industrial biotechnol...
A common problem in model verification is to determine the values of model parameters that provide t...
This paper presents KIPET (Kinetic Parameter Estimation Toolkit) an open-source toolbox for the dete...
This thesis deals with parameters estimation search problematics. Newly-made software is proposed wi...
Background: Kinetic modeling is a powerful tool for understanding the dynamic behavior of biochemica...
Background: Kinetic modeling is a powerful tool for understanding the dynamic behavior of biochemica...
Computational models in systems biology are usually characterized by a lack of reliable parameter va...
The aim of this work is to test the Levemberg Marquardt and BFGS (Broyden Fletcher Goldfarb Shanno) ...
Parameter estimation algorithms integrated in automated platforms for kinetic model identification a...
[Background] Kinetic models of biochemical systems usually consist of ordinary diff...
Advancements in data collection and high performance computing are making sophisticated model calibr...
This thesis deals with design of appropriate optimization algorithms for purposes of newly developed...