The Chinese University of Hong Kong
Department of Computer Science and Engineering

Seminar

Title: Parametric Spectral Analysis of Gene Expression Time Series
Date: October 20, 2005 (Thursday)
Time: 2:00 p.m. - 3:00 p.m.
Venue: Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T.
Speaker: Prof. Hong Yan
Professor of Computer Engineering
City University of Hong Kong

ABSTRACT:

Massive amount of gene expression data can be produced in DNA microarray experiments. Analysis of these data is a challenging problem and has already attracted enormous interest from researchers in science and engineering. We have recently developed a spectral estimation based method for gene expression time series analysis. In our method, an expression profile is represented as the sum of spectral components and the correlation is measured component-wise. Each spectral component is completely described by four parameters, its amplitude, phase, damping rate and frequency and we can calculate the correlation between two spectral components by setting the phase to zero. This effectively solves the time delay problem for similar waveform shapes. Our method is able to identify many regulatory gene pairs and even many-to-one regulatory gene groups, which are missed by the traditional Pearson correlation coefficient. We have also found a closed-form mathematical solution to the correlation between spectral components. This solution makes the similarity computation very efficient. In addition, it can be used to extrapolate gene expression time series and compare data obtained with different sampling rates and data lengths. Our spectral estimation based method can provide a robust computational tool for the detection of periodically expressed genes, study of gene functions and inference of genetic networks.

BIOGRAPHY:

Hong Yan received his Ph.D. degree from Yale University. He was Professor of Imaging Science at the University of Sydney and is currently Professor of Computer Engineering at City University of Hong Kong. His research interests include image processing, pattern recognition and bioinformatics.

Enquiries: Miss Temmy So at tel 2609 8444

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

**** ALL ARE WELCOME ****