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Abstract Details
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Activity Number:
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378
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Type:
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Invited
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Date/Time:
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Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300333 |
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Title:
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Permutation-based expression pathway analysis, without permutation
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Author(s):
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Fred Andrew Wright*+ and Yihui Zhou and William T Barry
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Companies:
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The University of North Carolina and The University of North Carolina and The University of North Carolina and Duke University
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Address:
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4115B McGavran-Greenberg, Chapel Hill, NC, 27599,
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Keywords:
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statistical genetics ;
winner's curse ;
estimation
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Abstract:
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Resampling-based expression pathway analysis techniques have been shown to preserve type I error, in contrast to simpler gene-list approaches which implicitly assume independence of genes in ranked lists. However, resampling is intensive in computation time and memory requirements. Within the framework of the SAFE procedure, we describe highly accurate analytic approximations to permutation-based pathway analysis, when each category is tested using sums of gene-specific score statistics. Examples will be used to illustrate the approach, and extensions will be discussed.
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