Challenges in the calibration of large-scale ordinary differential equation models
Challenges in the calibration of large-scale ordinary differential equation models
Abstract Mathematical models based on ordinary differential equations have been employed with great success to study complex biological systems. With soaring data availability, more and more models of increasing size are being developed. When working with these large-scale models, several challenges arise, such as high computation times or poor identifiability of model parameters. In this work, we review and illustrate the most common challenges using a published model of cellular metabolism. We summarize currently available methods to deal with some of these challenges while focusing on reproducibility and reusability of models, efficient and robust model simulation and parameter estimation.
Kapfer Eva-Maria、Hasenauer Jan、Stapor Paul
Technische Universit?t M¨1nchen, Center for Mathematics, Chair of Mathematical Modeling of Biological SystemsTechnische Universit?t M¨1nchen, Center for Mathematics, Chair of Mathematical Modeling of Biological Systems||Helmholtz Zentrum M¨1nchen - German Research Center for Environmental Health, Institute of Computational BiologyTechnische Universit?t M¨1nchen, Center for Mathematics, Chair of Mathematical Modeling of Biological Systems||Helmholtz Zentrum M¨1nchen - German Research Center for Environmental Health, Institute of Computational Biology
生物科学研究方法、生物科学研究技术生物科学理论、生物科学方法细胞生物学
Kapfer Eva-Maria,Hasenauer Jan,Stapor Paul.Challenges in the calibration of large-scale ordinary differential equation models[EB/OL].(2025-03-28)[2025-05-02].https://www.biorxiv.org/content/10.1101/690222.点此复制
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