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Abstract Details
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Activity Number:
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149
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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| Abstract - #303831 |
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Title:
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Predicting Patient Outcome by Within-Patient Gene Expression Directions: A Robust and Technology Independent Approach
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Author(s):
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Chuen Seng Tan and Keyur H. Desai and John D. Storey*+
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Companies:
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Princeton University and Princeton University and Princeton University
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Address:
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Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ, 08544, (609) 258-7070
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Keywords:
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clinical genomics ;
prediction ;
robust ;
reproducible ;
gene expression
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Abstract:
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We consider the problem of predicting patient outcomes of a progressive clinical condition based only on the within-patient upward or downward movement of expression for a given set of genes. We demonstrate the application of this approach to the problem of predicting multiple organ failure and related complications in a set of critically injured blunt force trauma victims. We show that an extremely simple, technology independent predictor may be derived that contributes to a better understanding of this clinical condition and has potential for rapid translation into clinical practice.
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