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Activity Number:
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63
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #310110 |
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Title:
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Smoothing Spline Mixed Effects Modeling of Multifactorial Gene Expression Profiles
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Author(s):
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Brandon Smith*+ and Sandra Rodriguez-Zas and Bruce Southey
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Companies:
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University of Illinois and University of Illinois at Urbana-Champaign and University of Illinois at Urbana-Champaign
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Address:
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1008 S Busey Ave Apt 6, Urbana, IL, 61801,
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Keywords:
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Smoothing spline ; mixed effect model ; microarray
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Abstract:
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The analysis of time-course microarray data is challenging because of the wide range of gene expression patterns, multiple sources of variation, and dependency of the measurements. We studied the performance of a hierarchical approach that integrates a flexible smoothing spline description of time-trends with mixed effects modeling of technical and experimental sources of variation to describe gene expression profiles. Overall patterns of gene expression during honey bee behavioral maturation and deviations associated to race and host colony effects were identified. A penalized likelihood-based approach was used and two spline dimensional bases were compared using likelihood-based criterion. A total of 140 genes exhibited differential expression across age, race and colony. The flexibility of the spline model component permitted the estimation of multiple unique trajectories in time.
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