报告主题：复杂网络系统的药物靶标的识别与控制
报告人：邹秀芬 教授 （武汉大学）
报告时间：2019年4月25日（周四）16：30
报告地点：校本部G508
邀请人：许新建
主办部门：太阳成集团tyc33455数学系
报告摘要：To explore a practical framework for controlling nonlinear dynamical networks based on meaningful physical and experimental considerations, we propose a new concept of the domain control for networks. We theoretically prove the existence of a domain control. In particular, we offer an approach for identifying the driver nodes that need to be controlled and design a general form of control functions for realizing domain controllability. In addition, we demonstrate the effectiveness of our theory and approaches in three realistic disease-related networks: the epithelial-mesenchymal transition (EMT) core network, the T helper (Th) differentiation cellular network and the cancer network.
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