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Abstract Details
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Activity Number:
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372
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #303759 |
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Title:
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Bayesian Models gor Large-Scale Data That Integrate Biological Information
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Author(s):
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Marina Vannucci*+
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Companies:
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Rice University
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Address:
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6100 Main Street, MS 138, Houston, TX, 77005,
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Keywords:
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Bayesian methods ;
Data integration
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Abstract:
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Novel methodological questions are now being generated in Bioinformatics and require the integration of different concepts, methods, tools and data types. In this talk I will explore Bayesian modeling approaches that combine data of different types with available biological knowledge. The proposed models apply to situations where a large number of non independent variables are observed on a few subjects. We look at classifying subjects, identifying important features and reconstructing network structures among the variables.
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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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