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Optimal parameter settings for information processing in gene regulatory networks

Chu, DF and Zabet, NR and Hone, ANW (2011) 'Optimal parameter settings for information processing in gene regulatory networks.' BioSystems, 104 (2-3). 99 - 108. ISSN 0303-2647

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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. © 2011 Elsevier Ireland Ltd.

Item Type: Article
Subjects: Q Science > QC Physics
Q Science > QH Natural history > QH426 Genetics
Divisions: Faculty of Science and Health > Life Sciences, School of
Depositing User: Nicolae Zabet
Date Deposited: 17 Dec 2015 12:38
Last Modified: 17 Sep 2019 17:15

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