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Evolving Genetic Regulatory Networks for Systems Biology

Chu, Dominique (2007) Evolving Genetic Regulatory Networks for Systems Biology. In: 2007 IEEE Congress on Evolutionary Computation. IEEE, pp. 875-882. ISBN 978-1-4244-1339-3. (doi:10.1109/CEC.2007.4424562) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13019)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/CEC.2007.4424562

Abstract

Recently there has been significant interest in evolving genetic regulatory networks with a user-determined behaviour. It is unclear whether or not artificial evolution of biochemical networks can be of direct benefit for or biological relevance to systems biology. This article highlights some pitfalls when concluding from artificially evolved genetic regulatory networks to real networks. This article also gives a (brief) review of some previous attempts to evolve genetic regulatory networks with oscillatory behaviour; it also describes a new system to evolve networks and describes the networks that have been evolved. These networks seem to be very diverse sharing no apparent common motifs either with one another or with their real-life counterparts

Item Type: Book section
DOI/Identification number: 10.1109/CEC.2007.4424562
Uncontrolled keywords: genetics; systems biology; biological system modeling; evolution; uncertainty; process design; software tools; biology computing; laboratories; computational intellgience
Subjects: Q Science > QH Natural history > QH301 Biology
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: 07 Oct 2008 07:57 UTC
Last Modified: 16 Nov 2021 09:50 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13019 (The current URI for this page, for reference purposes)

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