Evolving noisy oscillatory dynamics in genetic regulatory networks
Leier, Andre, Kuo, P. Dwight, Banzhaf, Wolfgang, & Burrage, Kevin (2006) Evolving noisy oscillatory dynamics in genetic regulatory networks. In Collet, Pierre, Tomassini, Marco, Ebner, Marc, Gustafson, Steven, & Ekart, Aniko (Eds.) Lecture Notes in Computer Science : Genetic Programming, Springer, Budapest, pp. 290-299.
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation of genetic networks is based on a biochemical reaction model including key elements such as transcription, translation and post-translational modifications. The stochastic, reaction-based GP system is similar but not identical with algorithmic chemistries. We evolved genetic networks with noisy oscillatory dynamics. The results show the practicality of evolving particular dynamics in gene regulatory networks when modelled with intrinsic noise.
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|Item Type:||Conference Paper|
|Keywords:||Computer Science, Theory & Methods, Stochastic Simulation, Escherichia-coli, Expression, Evolution, Cells|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Mathematical Sciences
|Deposited On:||18 Sep 2011 22:23|
|Last Modified:||25 Oct 2016 23:41|
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