Bioinformatics Seminar

Wednesday, February 3, 2010

3:00 - 4:00
Room 457 Blocker

Renata Ivanek

Department of Veterinary Integrative Biosciences

College of Veterinary Medicine and Biomedical Sciences

Texas A&M University





Extreme value theory in analysis of microarrays


Microarrays are emerging as particularly powerful tools in the field of genetic epidemiology. Often, in spotted microarrays the interest of the investigator, for example to identify up-regulated gene markers of a disease, or the design of the experiment, such as in certain “wild-type versus mutant” experiments, limits identification of differentially expressed genes to those regulated in a single direction, either up or down. In such experiments, unlike in genome-wide microarrays, analysis is restricted to the tail of the distribution, extremes, of all the genes in the genome. This talk will illustrate how the Extreme Value Theory could provide a platform to account for this extreme behavior.