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Abstract Details
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Activity Number:
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559
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #305917 |
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Title:
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Bayesian Models for Rare Genetic Variants
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Author(s):
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Chiara Sabatti*+
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Companies:
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Stanford University
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Address:
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259 Campus Drive, Palo Alto, CA, 94305, United States
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Keywords:
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Abstract:
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Recent genetic studies, based on resequencing technology, survey the entire spectrum of DNA variation in the enrolled subjects, resulting in a very large number of variable sites, where alleles different from the reference sequence are observed in a very small number of subjects. From a statistical viewpoint, we have a modest number of observations on a very large number of variables, most of which are very sparse in the sense that their observed realizations in the dataset are mostly equal to 0. I will describe some Bayesian models that can be particularly fruitful in analyzing these data, as well as the computational challenges that they pose.
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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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