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XB-ART-36601
Conf Proc IEEE Eng Med Biol Soc 2006 Jan 01;2006:4147-50. doi: 10.1109/IEMBS.2006.260227.
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Inference of genetic network of Xenopus frog egg: improved genetic algorithm.

Wu SJ , Chou CH , Wu CT , Lee TT .


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An improved genetic algorithm (IGA) is proposed to achieve S-system gene network modeling of Xenopus frog egg. Via the time-courses training datasets from Michaelis-Menten model, the optimal parameters are learned. The S-system can clearly describe activative and inhibitory interaction between genes as generating and consuming process. We concern the mitotic control in cell-cycle of Xenopus frog egg to realize cyclin-Cdc2 and Cdc25 for MPF activity. The proposed IGA can achieve global search with migration and keep the best chromosome with elitism operation. The generated gene regulatory networks can provide biological researchers for further experiments in Xenopus frog egg cell cycle control.

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Species referenced: Xenopus
Genes referenced: cdc25c cdk1