JSM 2003 Online Program

Abstract #301678

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Activity Number:	257
Type:	Luncheons
Date/Time:	Tuesday, August 5, 2003 : 12:30 PM to 1:50 PM
Sponsor:	Section on Bayesian Stat. Sciences
Abstract - #301678
Title:	Is Bayesian Thinking Useful in Genomics?
Author(s):	Giovanni Parmigiani*+
Companies:	Johns Hopkins University
Address:	550 N Broadway, School of Medicine, Baltimore, MD, 21205-2020,
Keywords:
Abstract:	Genomic analysis is generating massive amounts of complex genetic information and is stimulating biologists and bioinformaticians to devise new mining and analysis tools. To some, matters may be too complex, and the discipline too young, for worrying about the spiffy uncertainty management that motivated much of modern Bayesian modeling in the 1990s. On the other hand, successful genomics analysis requires integration of prior biological knowledge, available in a variety of computerized forms. To some, this seems like fertile terrain for Bayesian thinking. Who is right?

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