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Kapfer, E.M.* ; Stapor, P. ; Hasenauer, J.

Challenges in the calibration of large-scale ordinary differential equation models.

IFAC PapersOnline 52, 58-64 (2019)
Publ. Version/Full Text DOI
Open Access Gold
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
Keywords Differential Equations ; Dynamic Modelling ; Large-scale Systems ; Parameter Estimation ; Reproducibility ; Steady States
Language english
Publication Year 2019
HGF-reported in Year 2020
ISSN (print) / ISBN 2405-8963
e-ISSN 1474-6670
Quellenangaben Volume: 52, Issue: 26, Pages: 58-64 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place Frankfurt ; München [u.a.]
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
Scopus ID 85081104076
Erfassungsdatum 2020-05-12