JSM 2004 Online Program

Abstract #300193

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Activity Number:	363
Type:	Invited
Date/Time:	Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #300193
Title:	Heterogeneity of Variance in Gene Expression Microarray Data
Author(s):	David M. Rocke*+
Companies:	University of California, Davis
Address:	Department of Applied Science, Davis, CA, 95616-8553,
Keywords:	empirical Bayes
Abstract:	One important problem in the analysis of gene expression microarray data is that the variation in expression under constant conditions is not stable from gene to gene. Recently, variance stabilizing transformations have been developed that can remove the systematic dependence of the variance on the mean, but it appears that there is still considerable variance heterogeneity that can interfere with global analysis of expression data. We and others have developed methods to deal with this problem, mostly in an empirical Bayes framework.

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