Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series

Microarray technology has been widely used in biological and medical studies. One motivating biological application in microarray experiments is to identify differentially expressed genes under different treatment conditions or among different types of cell samples. With tens of thousands of genes on the array, multiple comparisons is a challenging problem. A new method is proposed to estimate the proportion of true null hypotheses so that Benjamini and Hochberg's false discovery rate (FDR) controlling procedure with incorporation of this estimate controls the FDR below, but extremely close to a pre-chosen significance level. A novel two-step multiple comparison procedure is also developed for pairwise comparisons of more than two treatment conditions in microarray experiments for a large number of genes such that the power to detect differentially expressed genes, while controlling the FDR below a desired significance level, will be higher than a one-step procedure.

Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.