NDLI: Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila

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Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila

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Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila

Content Provider	ACM Digital Library
Author	Hohm, Tim Zitzler, Eckart
Abstract	Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimation of model parameters, i.e., an optimization process during which the difference between model output and given experimental data is minimized. This parameter estimation step is often difficult, especially for larger systems due to often incomplete quantitative data, the large size of the parameter space, and non-linearities in system behavior. Addressing the task of parameter estimation, we investigate the influence multiobjectivization can have on the optimization process. On the example of an established model for the segment polarity GRN in Drosophila, we test different multiobjectivization scenarios compared to a singleobjective function proposed earlier for the parameter optimization of the segment polarity network model. Since, instead of a single optimal parameter setting, a set of optimal parameter settings exists for this GRN, the comparison of the different optimization scenarios focuses on the capabilities of the different scenarios to identify optimal parameter settings showing good diversity in the parameter space. By embedding the objective functions in an evolutionary algorithm (EA), we show the superiority of the multiobjective approaches in exploring the model's parameter space.
Starting Page	209
Ending Page	216
Page Count	8
File Format	PDF
ISBN	9781605583259
DOI	10.1145/1569901.1569931
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Parameter estimation Multiobjectivization
Content Type	Text
Resource Type	Article

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