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Optimization in biology parameter estimation and the associated optimization problem
Linköping University, Department of Biomedical Engineering. Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Science & Engineering. (Integrative Systems Biology)
Stockholm, Sweden.
Stockholm, Sweden.
Unit of Computational Medicine, Department of Medicine, Karolinska Institutet, Solna, Sweden.
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2016 (English)In: Uncertainty in biology: a computational modeling approach / [ed] Liesbet Geris, David Gomez-Cabrero, New York: Springer, 2016, 177-197 p.Chapter in book (Refereed)
Abstract [en]

Parameter estimation – the assignment of values to the parameters in a model – is an important and time-consuming task in computational biology. Recent computational and algorithmic developments have provided novel tools to improve this estimation step. One of these improvements concerns the optimization step, where the parameter space is explored to find interesting regions. In this chapter we review the parameter estimation problem, with a special emphasis on the associated optimization methods. In relation to this, we also provide concepts and tools to help you select the appropriate methodology for a specific scenario.

Place, publisher, year, edition, pages
New York: Springer, 2016. 177-197 p.
Series
, Studies in Mechanobiology, Tissue engineering, and Biomaterials, ISSN 1868-2006 ; 17
Keyword [en]
Parameter estimation, Optimization, Heuristic, Fitness function
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-130997DOI: 10.1007/978-3-319-21296-8_7ISBN: 9783319212951 (Print)ISBN: 9783319212968 (online)OAI: oai:DiVA.org:liu-130997DiVA: diva2:957633
Available from: 2016-09-02 Created: 2016-09-02 Last updated: 2016-09-08Bibliographically approved

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Cedersund, Gunnar
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Department of Biomedical EngineeringDepartment of Clinical and Experimental MedicineFaculty of Science & Engineering
Control Engineering

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