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Title
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Room
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Analyzing Gene Chip Data: Cluster Analysis and Related Methods
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M-Consulate
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Date / Time
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Sponsor
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Type
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08/06/2001
8:30 AM
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10:20 AM
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Classification Society of North America, ENAR
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Invited
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Organizer:
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David Banks, Bureau of Transportation Statistics
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Chair:
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Stan Wasserman, University of Illinois at Urbana-Champaign
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Discussant:
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9:50 AM - Stan Young, GlaxoWellcom, Inc.
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Floor Discussion
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10:05 AM
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Description
The Classification Society of North America (CSNA) has a particular specialization in the kinds of cluster analysis applications that are key to success in this area. Data analysis of high-dimensional gene expression level data is a key problem area with important implications in biomedicine. As the human genome project shifts direction from the massive sequencing phase to the application of this information to treatment of disease, a new focus in biostatistics and bioinformatics will need to be developed. The methods so far applied to gene expression data analysis come from the field of statistical cluster and classification analysis, and is of central interest to the Classification Society of North America (CSNA).
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