首页计算机学院研究生导师论坛和专题讲座
标题 Computational Network Biology
主讲人 吴方向
职称
职位 a full professor of College of Engineering and of
地点 计算机学院B403
举办学院 计算机学院
举办时间 2018年5月18日10点正
主讲人简介 Dr. FangXiang Wu is a full professor of College of Engineering and of Department of Computer Science at the University of Saskatchewan, Canada. Since 2016, Dr. Wu has become a national "1000 plan" guest professor at Central South University, Changsha, China. Dr. Wu received the B. Sc. degree and the M. Sc. degree in Applied Mathematics, both from Dalian University of Technology, Dalian, China, in 1990 and 1993, respectively, the first Ph.D. in Control Theory and Its Applications from Northwestern Polytechnical University, Xi’an, China, in 1998, and the second Ph.D. in Bioinformatics and Systems Biology from University of Saskatchewan, Saskatoon, Canada, in 2004. He worked as a postdoctoral fellow with Laval University Medical Research Center, Quebec City, Quebec, during 2004-2005. His current research interests are in Bioinformatics and computational network biology, including Complex network controllability and applications, Biomolecular network analytics, Machine learning in bioinformatics, Biological data analytics, Brain images and brain networks, and Nonlinear biodynamic analytics. He has published about 200 refereed journal papers and over 100 refereed conference papers. He has been invited to deliver about 60 academic talks in the international conferences and academic institutes all over the world. Wu has served as the editorial board member/associate editor of five international journals (Scientific Reports, Neurocomputing, etc.), as the guest editor of over 20 international journals, and as the program committee chair or member of more than 30 international conferences.
讲座简介 Network biology, an emerging area focusing on various biomolecular networks, is a multidisciplinary intersection of mathematics, computer sciences, and molecular biology. With burgeoning high-throughput data, various types of biomolecular networks can be constructed. Typical biomolecular networks include protein-protein interaction networks, gene regulatory networks, metabolic networks, signal-transduction networks, drug-target networks, gene-disease networks, co-expression networks, association networks, and so on. These networks can be depicted as (un)directed graphs, where nodes (vertices) represent molecules while edges (links) represent interactions/associations among molecules. Biomolecular networks provide us great opportunities from studying individual components to understanding functional networks for biomolecular systems, cells, organs and even entire organisms. In past years I and my colleagues (my students and collaborators) have developed an array of computational methods to mine the knowledge from biomolecular networks. In this seminar, I will talk about some of our recently developed methods for identifying essential proteins, disease genes, protein complexes, drug targets from various biomolecular networks. I will also briefly introduce my researches in other areas of bioinformatics and computational biology.