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Activity Number:
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142
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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| Abstract - #309153 |
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Title:
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Microarray Gene Coexpression Analysis by a Supervised Sequential Clustering Algorithm
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Author(s):
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Cheng Cheng*+
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Companies:
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St. Jude Children's Research Hospital
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Address:
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Department of Biostatistics MS 768, Memphis, TN, 38016,
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Keywords:
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Clustering ; Gene ; Co-expression ; Microarray ; Pathway ; Genomics
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Abstract:
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Most microarray gene expression analyses have focused on the analysis of each gene (probe) individually. Because genes form complex signaling and regulatory pathways in carrying out their biological functions, existence of coexpressions are plausible in even a snapshot microarray gene expression experiment, and such coexpressions may be reflected by the stochastic relationships among the genes' expression data. Detecting the coexpressions may help identify the underlying signaling/regulatory pathways involved in the biological process of interest. A clustering algorithm for this purpose, coupled with an inference procedure, will be presented in this talk. The methodology will be illustrated by real-data examples.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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