A hierarchical approach to model parameter optimization for developmental systems.

Détails

ID Serval
serval:BIB_55C5B49B9EF5
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A hierarchical approach to model parameter optimization for developmental systems.
Périodique
Bio Systems
Auteur(s)
Hohm T., Zitzler E.
ISSN
1872-8324 (Electronic)
ISSN-L
0303-2647
Statut éditorial
Publié
Date de publication
2010
Volume
102
Numéro
2-3
Pages
157-167
Langue
anglais
Notes
Publication types: Journal Article
Résumé
In the context of Systems Biology, computer simulations of gene regulatory networks provide a powerful tool to validate hypotheses and to explore possible system behaviors. Nevertheless, modeling a system poses some challenges of its own: especially the step of model calibration is often difficult due to insufficient data. For example when considering developmental systems, mostly qualitative data describing the developmental trajectory is available while common calibration techniques rely on high-resolution quantitative data. Focusing on the calibration of differential equation models for developmental systems, this study investigates different approaches to utilize the available data to overcome these difficulties. More specifically, the fact that developmental processes are hierarchically organized is exploited to increase convergence rates of the calibration process as well as to save computation time. Using a gene regulatory network model for stem cell homeostasis in Arabidopsis thaliana the performance of the different investigated approaches is evaluated, documenting considerable gains provided by the proposed hierarchical approach.
Mots-clé
Algorithms, Arabidopsis/cytology, Arabidopsis/genetics, Computer Simulation, Gene Regulatory Networks, Homeostasis, Models, Biological, Stem Cells/cytology, Stem Cells/metabolism, Systems Biology/methods
Pubmed
Web of science
Création de la notice
20/03/2011 21:16
Dernière modification de la notice
20/08/2019 15:10
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