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Optimization in biology parameter estimation and the associated optimization problem
Linköpings universitet, Institutionen för medicinsk teknik. Linköpings universitet, Institutionen för klinisk och experimentell medicin. Linköpings universitet, Tekniska fakulteten. (Integrative Systems Biology)
Stockholm, Sweden.
Stockholm, Sweden.
Unit of Computational Medicine, Department of Medicine, Karolinska Institutet, Solna, Sweden.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Uncertainty in biology: a computational modeling approach / [ed] Liesbet Geris, David Gomez-Cabrero, New York: Springer, 2016, s. 177-197Kapittel i bok, del av antologi (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
New York: Springer, 2016. s. 177-197
Serie
Studies in Mechanobiology, Tissue engineering, and Biomaterials, ISSN 1868-2006 ; 17
Emneord [en]
Parameter estimation, Optimization, Heuristic, Fitness function
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-130997DOI: 10.1007/978-3-319-21296-8_7ISBN: 9783319212951 (tryckt)ISBN: 9783319212968 (tryckt)OAI: oai:DiVA.org:liu-130997DiVA, id: diva2:957633
Tilgjengelig fra: 2016-09-02 Laget: 2016-09-02 Sist oppdatert: 2016-09-08bibliografisk kontrollert

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Totalt: 96 treff
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  • de-DE
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