Genetic Regulatory Network of Yeast / Xenopus Frog Egg：Improved Genetic Algorithm

• Main Authors: Chia-Hsien Chou, 周家賢
• Other Authors: Tsu-Tian Lee
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/49167889211775395283

碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === An improved genetic algorithm is proposed to achieve gene regulatory network modeling of Xenopus frog egg in S-system and yeast in modified power-law model respectively. Via the time-course datasets from experiment of yeast and Michaelis-Menten model of Xenopus, the optimal parameters are learned. The modified power-law model and S-system can clearly describe activative and inhibitory interaction between genes as generating and consuming process. We concern cell cycle of yeast and the mitotic control in cell cycle of Xenopus frog egg to realize gene reactions. The proposed improved genetic algorithm can achieve global search with migration and keep the best individual with elitism operation. The generated gene regulatory networks can provide biological researchers for further experiments in yeast and Xenopus frog egg cell cycle.