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Optimization in biology parameter estimation and the associated optimization problem

Cedersund, Gunnar, 1978- (author)
Linköpings universitet,Institutionen för medicinsk teknik,Institutionen för klinisk och experimentell medicin,Tekniska fakulteten,Integrative Systems Biology
Samuelsson, Oscar (author)
Uppsala universitet
Ball, Gordon (author)
Karolinska institutet, Stockholm
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Tegnér, Jesper (author)
Unit of Computational Medicine, Department of Medicine, Karolinska Institutet, Solna, Sweden
Gomez-Cabrero, David (author)
Karolinska institutet, Stockholm
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 (creator_code:org_t)
2015-10-27
2016
English.
In: Uncertainty in biology. - Cham : Springer. - 9783319212951 - 9783319212968 ; , s. 177-197
  • Book chapter (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

Parameter estimation
Optimization
Heuristic
Fitness function

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