本次“學術沙龍”有幸邀請Drexel University, Xiaohua Tony Hu 教授，與我校師生分享他在生物信息學方面的研究及進展。具體安排如下，歡迎感興趣的師生參加：
一、 主題：Accurately annotate genetic variants
四、主講人：Drexel UniversityC868彩票，Xiaohua Tony Hu 教授
五、 主持人：生命科學與技術學院 林昊 教授
The interactions and organizations among microbes play key roles in a microbial communities. It is valuable to identify those interactions from multi-omics dataset including sequencing data, abundance data, networks and literature. In this talk, I will introduce several of our recent work in microbial network inferring and analysis. First, a prediction algorithm with high accuracy was proposed for bacteria-virus network based on logistic matrix factorization on a heterogeneous network linking host similarity and virus similarity. Second, we will introduce an automatic system for microbial relation extraction from large-scale literature dataset from which deep learning models were trained on pre-labeled dataset. The system can identify bacteria names and relations with good performance from published papers in PubMed. Third, we will introduce a novel method of network analysis for extracting high-order organization in microbial networks. These studies provide novel approaches to infer the global map of microbes in microbial world.
Xiaohua Tony Hu is a full professor at the College of Computing and Informatics, Drexel University, also the guest professor at Central China Normal University. He is also serving as the founding Co-Director of the NSF Center (I/U CRC) on Visual and Decision Informatics (NSF CVDI), IEEE Computer Society Bioinformatics and Biomedicine Steering Committee Chair, and IEEE Computer Society Big Data Steering Committee Chair. Tony is a scientist, teacher and entrepreneur. He joined Drexel University in 2002. He founded the International Journal of Data Mining and Bioinformatics (SCI indexed) in 2006. Earlier, he worked as a research scientist in the world-leading R&D centers such as Nortel Research Center, and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley, California. He has a lot of experience and expertise to convert original ideas into research prototypes, and eventually into commercial products, many of his research ideas have been integrated into commercial products and applications in data mining fraud detection, database marketing.
Tony’s current research interests are in big data, data/text/web mining, bioinformatics, information retrieval and information extraction, social network analysis, healthcare informatics. He has published more than 280 peer-reviewed research papers in various journals, conferences and books such as various IEEE/ACM Transactions (IEEE/ACM TCBB, IEEE TFS, IEEE TDKE, IEEE TITB, IEEE SMC, IEEE Computer, IEEE NanoBioScience, IEEE Intelligent Systems), JIS, KAIS, CI, DKE, IJBRA, SIG KDD, IEEE ICDM, IEEE ICDE, SIGIR, ACM CIKM, IEEE BIBE, IEEE CICBC etc, co-edited 20 books/proceedings. He has obtained more than US$9.0 million research grants in the past 12 years as PI or Co-PI. He has graduated 23 Ph.D. students from 2006 to 2018 and is currently supervising 7 Ph.D. students.