Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks Export

@inproceedings{citeulike:1070110, abstract = {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.}, address = {Berlin}, author = {Leier, Andre and Kuo, Dwight P. and Banzhaf, Wolfgang and Burrage, Kevin}, booktitle = {Proc. 9th Europ. Conference on Genetic Programming, Budapest, Hungary}, citeulike-article-id = {1070110}, comment = {A GP approach to evolving GRNs}, editor = {Collet, P. and Tomassini, M. and Ebner, M. and Gustafson, S. and Ek\'{a}rt, A.}, keywords = {genetic\_regulatory\_networks}, month = {April}, pages = {290--299}, posted-at = {2007-01-27 00:37:16}, priority = {0}, publisher = {Springer}, series = {LNCS}, title = {Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks}, year = {2006} }

TY - CONF ID - citeulike:1070110 L3 - citeulike-article-id:1070110 N2 - 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. SE - LNCS AD - Berlin EP - 299 TI - Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks PB - Springer T2 - Proc. 9th Europ. Conference on Genetic Programming, Budapest, Hungary SP - 290 KW - genetic_regulatory_networks N1 - A GP approach to evolving GRNs AU - Leier, Andre AU - Kuo, Dwight AU - Banzhaf, Wolfgang AU - Burrage, Kevin A2 - Collet, P A2 - Tomassini, M A2 - Ebner, M A2 - Gustafson, S A2 - Ekárt, A PY - 2006/04// ER -