报告题目：The inferring and analysis of microbial interaction network
报告人： Dr Xiaohua Hu
College of Computing and Informatics
Drexel University, Philadelphia, PA 19104, USA
Abstract: 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 and the founding director of the data mining and bioinformatics lab at the College of Computing and Informatics, Drexel University, USA. 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 data/text/web mining, big data, bioinformatics, information retrieval and information extraction, social network analysis, healthcare informatics, rough set theory and application. He has published more than 270 peer-reviewed research papers in various journals, conferences and books (Google citation is more than 20000, and H-index 64) . His research projects are funded by the National Science Foundation (NSF), US Dept. of Education, the PA Dept. of Health. He has obtained more than US$10.0 million research grants in the past 12 years as PI or Co-PI . He has graduated 24 Ph.D. students from 2006 to 2019 and is currently supervising 9 Ph.D. students.