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Optimal Parameter Settings for Information Processing in Gene Regulatory Networks

Chu, Dominique, Zabet, Nicolae Radu, Hone, Andrew N.W. (2011) Optimal Parameter Settings for Information Processing in Gene Regulatory Networks. BioSystems, . pp. 182-196. (doi:10.1016/j.biosystems.2011.01.006) (KAR id:30778)

Abstract

Gene networks can often be interpreted as computational circuits. This article investigates the computational properties of gene regulatory networks defined in terms of the speed and the accuracy of the output of a gene network. It will be shown that there is no single optimal set of parameters, but instead, there is a trade-off between speed and accuracy. Using the trade-off it will also be shown how systems with various parameters can be ranked with respect to their computational efficiency. Numerical analysis suggests that the trade-off can be improved when the output gene is repressing itself, even though the accuracy or the speed of the auto-regulated system may be worse than the unregulated system.

Item Type: Article
DOI/Identification number: 10.1016/j.biosystems.2011.01.006
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Dominique Chu
Date Deposited: 21 Sep 2012 09:49 UTC
Last Modified: 16 Nov 2021 10:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30778 (The current URI for this page, for reference purposes)

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