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Biomedical Literature Mining and Its Applications in Bioinformatics

                                                          Tony Hu,

                         College of Information Science and Technology,

                                Drexel University, Philadelphia, PA 19104

                         thu@cis.drexel.edu, http://www.cis.drexel.edu/faculty/thu

    

To expedite the progress of bioinformatics, it is essential to develop efficient and effective literature data mining techniques from the ever-expanding collection of biomedical literature so that genomic and medical experts can analyze this information to form new hypotheses, conduct new experiments, and enable new discoveries and treatments. 

This talk will discuss some of the text mining technical in biomedical literature and their applications in bioinformatics domain.  It will focus an ontology-based approach that investigates the full mutual benefits of searching, information extraction and text mining for efficient and effective processing and mining salient relationships from large biomedical literature databases. It will also discuss the applications of these methods on microarray data analysis, protein-interaction network and bioterrorism. It should be beneficial to computer scientists who is interested in developing software tools for bioinformatics or for biologists who is interested in the applying the latest computer tools and methods in bioinformatics.

Short Biography

 

Xiaohua (Tony) Hu is currently an assistant professor at the College of Information Science and Technology, Drexel University.  Tony received his Ph.D. in Computer Science from University of Regina, Canada 1995, M.Sc. in Computer Science from Simon Fraser University, Canada in 1992, M.Eng. in Computer Engineering from Institute of Computing Technology, Chinese Academy of Science in 1988 and B.Sc. (Software Engineering) from Wuhan University in 1985. From 1994-2002, he first worked as a research scientist in data mining R&D in Nortel Network Research Center, Verizon Labs etc, then  designed and developed data mining commercial software in various start-up companies and founded the company DMW Software  (Data Mining and Warehousing). Tony joined Drexel University in Sept., 2002. His current research interests are in biomedical literature data mining, bioinformatics, text mining, semantic web mining and reasoning, rough set theory and application, information extraction and information retrieval. He has published more than 80 peer-reviewed research papers in various journals, conferences and books.  He has received a few prestigious awards including the 2005 NSF Career award, the best paper award at the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, and the 2001 IEEE Data Mining Outstanding Service Award.  He has also served as a program co-chair/conference co-chair of 5 international conferences/workshops and a program committee member in more than 30 international conferences in the above areas.  He is an associate editor/editorial board member of three international journals (KAIS, IJDWM and IJSOI) and the founding advisory board member and secretary of the IEEE Granular Computing Task Force. His research projects are funded by National Science Foundation (NSF) and the  PA Dept. of Health.

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