Resilience of large-scale interacting networks with positive and negative regulations

主讲人：田天海  澳大利亚莫纳什大学教授

时间：2021年11月10日11：00

地点：腾讯会议 370 151 818

举办单位：数理学院

主讲人介绍：田天海博士2001年博士毕业于昆士兰大学数学系，现为澳大利亚莫纳什大学数学学院教授。田天海博士在基因网络和细胞信号传导等生物系统的随机建模，随机动力系统的数值模拟，模型参数估计，及统计分析与计算等方向开展过很多有创新意义的工作，并取得了较多的研究成果。获得过澳大利亚研究基金会的“未来研究员”和“澳大利亚研究员”等称号。共发表130多篇学术论文，其部分研究成果己发表在高级别的学术刊物上。

内容介绍：Resilience is the capability of a dynamical system against external  perturbations including noise. A wide range of complex systems require  resilience to maintain their sustained functions in fluctuating environments.  Although a generic method has been proposed to study the resilience of the  reduced networks, an important yet unsolved question is the functions of  different regulations on the network resilience. In this talk, we will discuss  an effective method to reduce the size of a large-scale regulatory network  subjected to different types of regulations. Using the gene networks in E coli  and yeast as the test systems, we will demonstrate how positive and negative  regulations affect the resilience of biological systems.