JSM 2011 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Abstract Details

Activity Number: 404
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #302243
Title: A Bayesian Hierarchical Model for Correlated Microarray Data Sets
Author(s): Bernard Omolo*+ and Ming-Hui Chen and Haitao Chu and Joseph G. Ibrahim
Companies: The University of North Carolina at Chapel Hill and University of Connecticut and University of Minnesota and The University of North Carolina
Address: 3107F McGavran-Greenberg Hall, CB # 7420, Chapel Hill, NC, 27599, USA
Keywords: Bayesian hierarchical model ; cell-line ; correlation coefficient ; gene expression ; microarray data ; probe

Assessment of gene-specific correlation between two independent expression datasets may help in deciding whether to use an original expression data or one updated with additional samples, for differential gene expression analysis. This can be accomplished through modeling the parameters measuring association between variables, for instance, the correlation coefficient. Typically, the correlation coefficients would be computed using the mean expression value for each common gene and cell-line between the two datasets. However, this approach does not utilize the replicated expression values for each gene and instead averages over them, thereby ignoring the effect of multiple probes per gene. We propose a three-level Bayesian hierarchical model for the gene-specific correlation coefficient between two independent datasets that utilizes replicated expression values for each gene. A comparison with the standard approach indicates that the Bayesian approach performs better and hence is more preferable for differential gene expression analysis.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2011 program

2011 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.