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Activity Number:
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166
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Type:
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Invited
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Date/Time:
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Monday, August 4, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300241 |
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Title:
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Large P, Small N Asymptotics for Detecting Gene Interactions
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Author(s):
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Michael Kosorok*+ and Shuangge Ma
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Companies:
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The University of North Carolina at Chapel Hill and Yale University
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Address:
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3101 McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7420,
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Keywords:
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empirical processes ; large p small n data ; microarrays ; gene networks ; high dimensional data ; asymptotics
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Abstract:
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In this talk, we extend previous work on large p, small n asymptotics for significance analysis of individual genes to detecting interactions between genes in microarray experiments. In this setting, n is the number of microarrays and p, the number of genes, is typically orders of magnitude larger than n. The new results yield computationally fast approximations which are accurate enough to correctly identify gene interactions of scientific interest. The overall goal is to determine biologically meaningful networks of genes. The effectiveness of the new methods for identifying networks of genes is demonstrated both theoretically and numerically and compared to applicable previous approaches.
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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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