Abstract Details
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Activity Number:
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80
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Type:
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Contributed
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Date/Time:
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Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #308214 |
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Title:
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Variable Selection by Combinatorial Optimization, with Application to Pharmacogenomics
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Author(s):
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Joseph Levy*+ and Amir Tchelet
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Companies:
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Teva Pharmaceuticals Industries and Teva Pharmaceutical Industries
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Keywords:
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Variable Selection ;
Prediction ;
Pharmacogenomics ;
Combinatorial Optimization
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Abstract:
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Given a set of observed variables that are associated with a response variable, it is often desired to select a subset of the observed variables that will enable predicting the value of Y.
We propose to approach the variable selection problem as a combinatorial optimization problem. Application of heuristics commonly used for such problems provide superior results. The approach will be demonstrated using data from one of Teva's recent pharmacogenomics studies.
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Authors who are presenting talks have a * after their name.
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