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Activity Number:
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274
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Type:
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Contributed
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Date/Time:
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Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #300575 |
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Title:
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Integrative Analysis of Genomics, Proteomics, Metabonomics, and Blood Chemistry Data
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Author(s):
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Raymond L. Lam*+ and Lei Zhu and Amit Bhattacharyya and Kwan R. Lee and Alan Menius and Paul McAllister
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Companies:
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GlaxoSmithKline and GlaxoSmithKline and GlaxoSmithKline and GlaxoSmithKline and GlaxoSmithKline and GlaxoSmithKline
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Address:
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709 Swedeland Rd., King of Prussia, PA, 19406,
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Keywords:
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data integration ; integrative analysis ; metabonomics ; proteomics ; systems biology ; transcriptomics
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Abstract:
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Systems biology is an integrated approach for studying complex biological systems. It involves combining and analysing data from multiple experimental platforms including blood chemistry, mRNA, proteins, metabolites collected from both preclinical and clinical samples. Recent technological advances make it possible to measure biological activity at the molecular level enabling the generation of large volumes of data representing gene expression, protein, and metabolite abundance. Identifying biomarkers specific and common to different drugs and diseases and understanding the association of these biomarkers will result in a better understanding of drug efficacy and drug safety. There are several challenges in integrative analysis of data from several platforms. The number of measurements (variables) is much larger than the number of subjects. Wide differences in the number of measurements per platform provides a challenge for balancing the platform contributions to the analysis. Issues of multicolinearity and multiple testing abound. We present statistical issues and results related to integration of various platforms.
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