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Activity Number:
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62
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 4:00 PM to 5:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306608 |
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Title:
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Semiparametric Analysis of Gene Expression Patterns across Ages
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Author(s):
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Sandra Rodriguez-Zas*+ and Bruce Southey and Gene Robinson
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Companies:
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University of Illinois and University of Illinois and University of Illinois
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Address:
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1207 W. Gregory Drive, Urbana, IL, 61801,
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Keywords:
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semiparametric ; microarray ; gene expression ; mixed model
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Abstract:
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A semiparametric approach was used to identify groups of genes with distinct expression profiles during behavioral maturation in honey bees. The semiparametric approach provided unambiguous criteria to detect groups of genes, trajectories and probability of gene membership to groups. The groups and trajectories identified from bees raised in one colony were cross-validated with data from bees raised in a second colony. Ten groups of genes with distinct patterns were identified using likelihood criteria and 9 groups had highly similar trajectories in both data sets. Differences in the trajectory of the remainder group were consistent with reports of accelerated maturation in one of the colonies. Gene Ontology analysis enhanced by genome annotation confirmed the semiparametric results and revealed that most genes with similar or related function were assigned to the same or similar groups.
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