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Activity Number:
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23
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #307104 |
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Title:
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Category Analysis for Microarray Data
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Author(s):
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Zhen Jiang*+ and Robert Gentleman
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Companies:
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Fred Hutchinson Cancer Research Center and Fred Hutchinson Cancer Research Center
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Address:
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1100 Fairview Ave., N., M2 B876, Seattle, WA, 98109,
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Keywords:
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gene set enrichment analysis ; microarray analysis ; biostatistics ; computation biology
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Abstract:
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A disease or phenotype exists not because the changes in one or a few genes only. It involves much complex biological process. All the genes that involve in this process would be affected at some level. As a result, we expect the functional related genes to have coordinated and moderate changes. Gene Set Enrichment Analysis (GSEA) method has be developed recently to capture this coordinated changes in the sets of functionally related genes. We propose an extension of it, which combines the gene-to-phenotype association and the gene-to-gene-set association into gene-set-to-phenotype association. We present applications of our method in several examples to illustrate the various realizations of our method by using different measures of either associations. We also address the problem of overlap among gene sets in this paper.
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