Gene Profiling, Clustering, and Networking

Date: Tuesday, March 22, 08:00 - 09:00
Location: Exhibit Hall C

Presented by

Prof. A. Hero, University of Michigan

Abstract

Extracting information from experiments for exploration of gene expression profiles, clusters, and interactions is fundamental to computational systems biology. Such information can improve our understanding of genetic pathways leading to disease, development, and aging in a population. Effective analysis of gene expression data must account for technical noise, biological variability in the population, and prior information about gene function. Analysis is complicated by the massive scale of the data being collected in gene microarray experiments, which simultaneously probe tens of thousands of genes. This talk will outline some of the main strategies being taken to address this challenging problem and describe our recent work in this area.

Speaker Biography

Alfred O. Hero III received the Ph.D from Princeton University (1984) in Electrical Engineering. Since 1984 he has been with the University of Michigan, Ann Arbor, where he is a Professor in the Department of Electrical Engineering and Computer Science and, by courtesy, the Departments of Biomedical Engineering and Statistics. His recent research interests are in the areas of statistical signal and image processing, networks, and bioinformatics. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and has received the 1998 IEEE Signal Processing Society Meritorious Service Award, the 1998 IEEE Signal Processing Society Best Paper Award, and the IEEE Third Millenium Medal.