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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 - #310247 |
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Title:
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Positive and Negative Association Rules of Gene Coexpression Patterns
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Author(s):
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Sandra Rodriguez-Zas*+ and Bruce Southey and Younhee Ko and Chengxiang Zhai
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Companies:
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University of Illinois at Urbana-Champaign and University of Illinois at Urbana-Champaign and University of Illinois at Urbana-Champaign and University of Illinois at Urbana-Champaign
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Address:
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1207 W Gregory Dr, Urbana, IL, 61801,
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Keywords:
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positive and negative association rules ; microarray ; mixed effects models
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Abstract:
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The vast amount of data generated from gene expression studies challenges the discovery of meaningful relationships between genes. Interesting associations between genes influencing maturation in honeybees were identified by integrating mixed effects modeling of technical and experimental sources of variation, positive and negative association rules and functional annotation of genes. The highest number of rules occurred when gene-sets were jointly expressed at two or three stages. Multiple interesting rules with high support, high confidence and high conviction were identified. Gene Ontology information identified common molecular function and biological process underlying the co-expression patterns. The synergistic combination of statistical analysis and data mining association rules improved the interpretation of gene expression data.
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