Evolving Genetic Regulatory Networks for Systems Biology

Chu, Dominique (2007) Evolving Genetic Regulatory Networks for Systems Biology. In: IEEE Congress on Evolutionary Computation 2007, Sept 25-27 2007, Singapore . (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)

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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: Conference or workshop item (Paper)
Subjects: Q Science > QH Natural history > QH301 Biology
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Dominique Chu
Date Deposited: 07 Oct 2008 07:57
Last Modified: 03 Dec 2013 13:45
Resource URI: https://kar.kent.ac.uk/id/eprint/13019 (The current URI for this page, for reference purposes)
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