This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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360
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #308563 |
Title:
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Stable Gene Expression Index in Integrative Analysis
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Author(s):
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Anna Elizabeth Campain*+ and Jean Yang and Francine Marques and Brian Morris
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Companies:
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University of Sydney and University of Sydney and University of Sydney and University of Sydney
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Address:
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School of Mathematics and Statistics F07, NSW, International, 2006, Australia
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Keywords:
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stability ;
microarray ;
meta-analysis ;
integrative ;
gene expression
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Abstract:
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Public microarray datasets have aided the increase in integrating multiple experiments via meta-analysis. In majority of these studies the new analysis examines the same question as the original studies. We examine statistical issues when the main experimental aim is to integrate datasets with a different experimental foci, i.e. to consider different questions. In particular combining different platforms emphasizing gene selection stability, a problem in most microarray analysis but intensified in integrative analysis. We propose a new stability score based on cross validation to identify stable and robust differentially expressed genes in datasets originally developed for a separate purpose. Our method was applied to research into the polygenic condition, hypertension where the main question studied by the scientific investigator was not previously addressed in the original experiments.
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