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Activity Number:
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172
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #307828 |
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Title:
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Systems-Based Analysis of Metabolic Profiles
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Author(s):
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Jacqueline M. Hughes-Oliver*+
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Companies:
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North Carolina State University
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Address:
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Department of Statistics, Raleigh, NC, 27695-8203,
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Keywords:
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disease diagnosis ; false discovery rate ; Fisher's exact test ; KEGG ; metabolomics ; pathway
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Abstract:
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Metabolomics is emerging as an attractive component of the extensive body of platforms for systems biology. The relatively small number of metabolites and their mostly known network of interconnectivity and relation to disease make metabolomics a prime candidate for improving both disease diagnosis and treatment. Unfortunately, analysis of metabolomic data typically ignores knowledge of disease pathways, and hence the opportunity for taking full advantage of domain knowledge is lost. This work develops a simple systemized view of metabolites and their existence in pathways, and then incorporates this knowledge in analyzing the impact of pathway measures on disease status. Our focus is more interpretable diagnosis of disease occurrence.
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