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EUROGP
2006
Springer

Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks

10 years 8 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
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.
André Leier, P. Dwight Kuo, Wolfgang Banzha
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where EUROGP
Authors André Leier, P. Dwight Kuo, Wolfgang Banzhaf, Kevin Burrage
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