Title: "Combining Affymetrix Microarray Results Across Laboratories"
Speaker: Mr. John Stevens, Department of Statistics, Purdue University
Place: Stanley Coulter (SC) 239; Tuesday, August 31, 2004; 4:30pm


The use of microarray technology is becoming more prevalent, and it is not unusual to find several different laboratories employing the same microarray technology to identify genes related to the same condition in the same species. Although the experimental specifics are similar, a different list of statistically significant genes may result from the data analysis in each laboratory. We propose a statistically-based meta-analytic approach to microarray analysis for the purpose of systematically combining results from the different laboratories. This approach provides a more precise view of genes that are significantly related to the condition of interest while simultaneously allowing for differences between laboratories. Of particular interest is the widely used Affymetrix oligonucleotide array, the results of which are naturally suited to a meta-analysis. A simulation model based on the Affymetrix platform is developed to examine the adaptive nature of the meta-analytic approach and to illustrate the usefulness of such an approach in combining microarray results across laboratories.

See http://www.stat.purdue.edu/~doerge/BIOINFORM.D/FALL04/sem.html for a full scheule of BIOINFORMATICS SEMINARS.