Abstract #301089

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JSM 2002 Abstract #301089
Activity Number: 283
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Stat. Sciences*
Abstract - #301089
Title: An Application of Empirical Bayes Model Selection to Microbial Community Fingerprint Analysis
Author(s): Jayson Wilbur*+ and Jayanta Ghosh and Sylvie Brouder and Cindy Nakatsu and Rebecca Doerge
Affiliation(s): Purdue University and Purdue University and Indian Statistical Institute and Purdue University and Purdue University and Purdue University
Address: , , , ,
Keywords: Empirical Bayes ; Model Selection ; DNA ; Microbial Community
Abstract:

In order to understand the role of microorganisms in an environment, the identification and characterization of the relevant microbial community is necessary. This is accomplished by analyzing microbial community DNA fingerprints, which can be represented in the form of high-dimensional binary vectors. An Empirical Bayes model for this multivariate binary response data is proposed, and fingerprint patterns are characterized by making posterior inference on the model space.

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