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Abstract Details
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Activity Number:
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637
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Type:
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Invited
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Date/Time:
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Thursday, August 4, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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International Society of Bayesian Analysis
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| Abstract - #300248 |
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Title:
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Integrating and Analyzing Data From Various Genomic Sources
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Author(s):
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Mahlet G. Tadesse*+
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Companies:
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Georgetown University
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Address:
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Department of Mathematics & Statistics, Washington, DC, 20057,
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Keywords:
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Bayesian inference ;
genomic ;
MCMC
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Abstract:
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There is a growing interest in relating different genomic data sources to better understand molecular processes underlying various phenotypes. We propose a statistical method that provides a unified and flexible approach for uncovering cluster structures and for identifying groups of related markers across data sets collected using various high-throughput technologies. The method combines the ideas of infinite mixture models, nonparametric regression, and variable selection.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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