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Activity Number:
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426
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #300463 |
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Title:
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Of Mice and Men: Sparse Statistical Modeling in Genomics
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Author(s):
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Mike West*+
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Companies:
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Duke University
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Address:
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Department of Statistical Science, Durham, NC, 27708-0251,
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Keywords:
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Abstract:
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I discuss applied statistical modeling of gene expression data to evaluate experimentally defined biomarkers in human observational data sets. The applied context---cross-study, cross-species projection of expression-based biomarkers---is central to emerging interests in clinical applications of genomics. The AOAS example in cardiovascular genomics involves a gene-environment interaction experiment that links gene expression to disease states and known risk factors. Expression signatures that proxy such risk factors are then evaluated in a coupled exploratory analysis of human data: how do these mouse-model signatures translate to humans? The study highlights a range of applied statistical and genomic data analysis issues, including model specification, computational questions, and model-based correction of experimental artifacts in DNA microarray data.
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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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