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International Conference on Statistics, Combinatorics and Related Areas and the Eighth International Conference of Forum for Interdisciplinary Mathematics
December 19-21, 2001
School of Mathematics and Applied Statistics, University of Wollongong
Wollongong, NSW, Australia

Organizers
Satya N. Mishra (University of South Alabama), Chandra M. Gulati (University of Wollongong)

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Detection of Differentially Expressed Genes in Microarray Experiments
by
Somnath Datta
University of Georgia
Coauthors: Susmita Datta(Georgia State University, Atlanta, USA), Glen A. Satten (Centers for Disease Control and Prevention, Atlanta, USA)

The simultaneous expression profiles of thousands of genes can be obtained from a microarray readout. One of the central questions in microarray experiments had been how to identify the set of genes that are differentially expressed in two or more cell types. The traditional multiple comparison procedures are problematic since the number of comparisons is huge and an effective control of the overall error rate while producing reasonable power at each comparison is a challenge. The talk with review the current state of statistical methodologies for this problem and discuss a new empirical Bayes approach for decision making. A numerical illustration will be provided using an unpublished data set with three types of cancer cells.

Date received: November 11, 2001

Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Mathematical Conference Abstracts. Document # caid-67.