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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 - #310036 |
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Title:
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Clustering Procedures for Finding Shared Modules Across Multiple Microarray Datasets
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Author(s):
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Peter Langfelder*+ and Steve Horvath
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Companies:
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University of California, Los Angeles and University of California, Los Angeles
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Address:
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Dept of Human Genetics, Los Angeles, CA, 90095-7088,
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Keywords:
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Gene co-expression networks ; Module networks ; gene dissimilarity ; hierarchical clustering
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Abstract:
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We develop a novel statistical method for finding shared modules across multiple microarray gene expression datasets. This data reduction technique employs a ``consensus'' gene dissimilarity measure (based on weighted gene co-expression networks) in conjunction with hierarchical clustering. Several suitable dissimilarity measures are presented and compared. We briefly explore their statistical properties, then apply the most appropriate method to several empirical datasets. In gene expression networks, the shared modules represent pathways that are common among the organisms or tissues under study and hence are biologically meaningful.
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