Statistical Signal Processing for Inferring Gene Regulatory Networks

Speaker:	Professor Xiaodong Wang
		Columbia University

Title:		"Statistical Signal Processing for Inferring Gene
		 Regulatory Networks"

Date:		Wednesday, 29 March 2006

Time:		4:00 pm - 5:00 pm

Venue:		Room 2302 (via lift no. 17/18)
		HKUST

ABSTRACT:

Genomic Signal Processing (GSP) is an emerging discipline that brings to
genomics the structural model-based analysis and synthesis that form the
basis of mathematically rigorous engineering.

Owing to the advent of microarray technology to simultaneously assess
gene-expression levels from thousands of genes, there now exists the
practical potential to apply signal processing methods to expression-based
signaling within the genome.  The aim of GSP is to integrate the theory
and methods of signal processing with the global understanding of
functional genomics, with special emphasis on genomic regulation. In this
talk, we will first give a brief tour of the basics of molecular biology.
We will then describe two applications of statistical signal processing
techniques to genomics, namely, motif discovery in DNA sequences, and
inference of gene regulatory networks.


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Biography:

Xiaodong Wang received the B.S. degree from Shanghai Jiao Tong University,
Shanghai, China; the M.S. degree from Purdue University; and the Ph.D.
degree from Princeton University, all in Electrical Engineering. He is now
an Associate Professor in the Department of Electrical Engineering,
Columbia University.

Dr. Wang's research interests fall in the general areas of computing,
signal processing and communications, and has published extensively in
these areas. Among his publications is a book entitled "Wireless
Communication Systems: Advanced Techniques for Signal Reception'',
published by Prentice Hall in 2003.  His current research interests
include wireless communications, statistical signal processing, and
genomic signal processing. Dr. Wang received the 1999 NSF CAREER Award,
and the 2001 IEEE Communications Society and Information Theory Society
Joint Paper Award. He currently serves as an Associate Editor for the IEEE
Transactions on Communications, the IEEE Transactions on Wireless
Communications, the IEEE Transactions on Signal Processing, and the IEEE
Transactions on Information Theory.