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Activity Number:
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88
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Type:
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Contributed
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Date/Time:
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Monday, August 9, 2004 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #301874 |
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Title:
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Genome-wide Index of Communication Function for Measuring Distance between Functional Gene Groups
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Author(s):
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Tianwei Yu*+ and Wei Sun and Ker-Chau Li
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Companies:
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University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
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Address:
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8130 Math Sciences, Los Angeles, CA, 90095-1554,
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Keywords:
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gene expression ; microarray ; Saccharomyces cerevisiae
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Abstract:
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Microarray data provide valuable information about the co-expression of genes. The degree of association between two genes can be easily measured using Pearson's correlation or similar methods. To further the understanding of expression regulation at the functional module level, we devised a method to assess the degree of association between two subunits of cellular process represented by multiple genes associated with two GO terms. A genome-wide index of communication function (GIOC) for each module is defined on the discrete state space of all genes whose expression profile is available, by transforming the highest correlation between each gene and the module. Distance between modules is then measured by Kullback-Leibler divergence between their GIOC functions. This algorithm overcomes two obstacles: (1) not all genes from the same term are tightly co-expressed in general, and (2) the landscape of gene expression profiles is structured heterogeneously in a space of high dimension. When applied on representative yeast modules selected from the gene ontology system, the algorithm yields meaningful grouping and some interesting new putative relationships.
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