This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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13
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #307867 |
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Title:
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Using Treelets to Smooth Complicated Pedigrees
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Author(s):
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Andrew Crossett*+
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Companies:
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Carnegie Mellon University
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Address:
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5000 Forbes Ave. Carnegie Mellon University , Pittsburgh, PA, 15213,
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Keywords:
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Abstract:
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Pedigrees can be very useful when performing genome-wide association tests on family data. They can be used to help control for spurious associations arising from inherently correlated individuals. Unfortunately, pedigrees can be difficult to obtain and may be very noisy.
Treelets are an adaptive approach to dealing with noisy, high-dimensional and unordered data. Treelets simultaneously construct a hierarchical tree and an orthonormal basis that represent the internal structure of the data. We propose to use treelets on estimated pedigrees by examining each individual's relationship to everyone else.
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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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