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Abstract Details
Activity Number:
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77
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
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Sponsor:
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Biometrics Section
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Abstract - #305968 |
Title:
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Classification of Patients from Time-Course Gene Expression
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Author(s):
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Yuping Zhang*+ and Robert Tibshirani and Ronald Davis
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Companies:
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Stanford University and and
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Address:
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419 Wilton Ave, Palo Alto, CA, 94306, United States
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Keywords:
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time-course ;
sparse ;
classification
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Abstract:
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Classifying patients into different risk groups based on their genomic measurements can help clinicians design appropriate clinical treatment plans. To produce such a classification, gene expression data were collected on a cohort of burn patients, who were monitored across multiple time points. This led us to develop a new classification method using time-course gene expressions. Our results showed that making good use of time-course information of gene expression improved the performance of classification compared to using gene expression from individual time points only. Our method is implemented into an R-package: TPAM.
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