Challenges in the calibration of large-scale ordinary differential equation models.
IFAC PapersOnline 52, 58-64 (2019)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Differential Equations ; Dynamic Modelling ; Large-scale Systems ; Parameter Estimation ; Reproducibility ; Steady States
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Language
english
Publication Year
2019
Prepublished in Year
HGF-reported in Year
2020
ISSN (print) / ISBN
2405-8963
e-ISSN
1474-6670
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Volume: 52,
Issue: 26,
Pages: 58-64
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Elsevier
Publishing Place
Frankfurt ; München [u.a.]
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Reviewing status
Peer reviewed
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-553800-001
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Erfassungsdatum
2020-05-12