Title:	Data Mining and Visualization of DNA Microarray Data
Date:	August 8, 2003 (Friday)
Time:	4:00 p.m. - 5:00 p.m.
Venue:	Room 1027, 10/F, Ho Sin-hang Engineering Building, The Chinese University of Hong Kong, Shatin, N.T.
Speaker:	Prof. S.Y. Kung Princeton University

ABSTRACT:

DNA microarrays are nowadays the most common and promising instrument for DNA analysis. It uses a laser beam to detect fluorescent tagged DNA and determine the underlying DNA sequence from the pattern of the resulting DNA fragments. An experiment with a single DNA chip can simultaneously show information on thousands of genes and provide a visual display on how a family of genes are "expressed". The most challenging research facing us is how to effectively process such a huge amount of data from DNA microarray for critical pathogenetical applications such as Drug Design and Disease Classification. In this talk, we shall address three major issues:

(1) Cluster Discovery applies hierarchical cluster strategy to detect/validate previously unrecognized tumor subtypes.

(2) Gene Selection identifies the most relevant gene subset involving the biological process that generates the patterns.

(3) Phenotype Prediction assigns unknown tumor sample to known tumor classes.

The principle of machine learning and statistic pattern recognition will be vital for all the three major issues pertaining to the gene expression data analysis. It will in turn demonstrate that the bioinformatics is a novel, challenging and promising research front for information scientists in the coming decades.

BIOGRAPHY:

Sun-Yuan Kung received his Ph.D. Degree in Electrical Engineering from Stanford University. Since 1987, he has been a Professor of Electrical Engineering at the Princeton University. In 1974, he was an Associate Engineer of Amdahl Corporation, Sunnyvale, CA. From 1977 to 1987, he was a Professor of Electrical Engineering-Systems of the University of Southern California, L.A. In 1984, he was a Visiting Professor of the Stanford University and the Delft University of Technology. In 1994 he was a Toshiba Chair Professor at Waseda University, Japan, and a Honorary Professor, Central China University of Science and Technology, China. In 2001, he was a Distinguished Chair of Multimedia Signal Processing, Hong Kong Polytechnic University, Hong Kong. His research interests include VLSI array processors, image/video/multimedia signal processing, neural networks for biometric and bioinformatic signal processing, and wireless digital communication.

Since 1990, he has served as an Editor-In-Chief of Journal of VLSI Signal Processing Systems. He was appointed as the first Associate Editor in VLSI Area (1984) and the first Associate Editor in Neural Network (1991) of the IEEE Transactions on Signal Processing. He served as a member of IEEE SPS (Signal Processing Society) Administration Committee (1989-1991). He was a founding member of IEEE-SPS Technical Committees on VLSI Signal Processing, Neural Networks for Signal Processing, and Multimedia Signal Processing. Dr. Kung has authored more than 300 technical publications. He has authored three books "VLSI Array Processors", (P-H, 1988) (with Russian and Chinese translations); "Digital Neural Networks", P-H, 1993; and ``Principal Component Neural Networks'', John-Wiley, 1996. He has edited numerous reference and proceeding books, including: for example, "VLSI and Modern Signal Processing," Prentice-Hall, 1985. (with Russian translation), and "Multimedia Image and Video Processing", CRC Press, 2001.

Dr. Kung is a Fellow of IEEE since 1988. He was the recipient of 1992 IEEE Signal Processing Society's Technical Achievement Award} for his contributions on "parallel processing and neural network algorithms for signal processing". He was appointed as an IEEE-SP Distinguished Lecturer in 1994. He received 1996 IEEE Signal Processing Society's Best Paper Award for his publication on principal component neural networks. He was a recipient of the IEEE Third Millennium Medal in 2000.

Enquiry: Miss Temmy So at tel 2609 8444

For more information, please refer http://www.cse.cuhk.edu.hk/seminar