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Abstract Details
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Activity Number:
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447
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Type:
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Invited
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Date/Time:
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Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #300196 |
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Title:
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Medallion Lecture: Connecting Experimental Data on Genes with Functional Information
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Author(s):
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Michael A. Newton*+
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Companies:
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University of Wisconsin at Madison
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Address:
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, , ,
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Keywords:
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genomics ;
data integration ;
pleiotropy ;
gene ontology ;
graphical model
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Abstract:
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A problem in statistical genomics is to examine the points of contact between genomic data generated experimentally and exogenous information about gene function. The purpose of such data integration may be to summarize extensive gene-level data into manageable units, or it may be to enhance the signal to noise ratio through set-level averaging. In either case there are unique statistical problems with such data integration. I will review several statistical approaches and examine them in examples from cancer virology and flu replication genomics. Included will be a discussion of a new ``role model', which aims to address pleiotropy and the spurious association of gene sets with changes in cellular state. I will assume minimal knowledge of biology, and will aim to focus my presentation on the interesting statistical elements.
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Authors who are presenting talks have a * after their name.
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