JSM 2005 - Toronto

Abstract #302591

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 210
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #302591
Title: Statistical Design and Analysis in Systems Biology
Author(s): Lei Zhu*+ and Raymond L. Lam and Amit Bhattacharyya and Kwan R. Lee
Companies: GlaxoSmithKline and Centacor and GlaxoSmithKline and GlaxoSmithKline
Address: 5 Moore Drive, Research Triangle Park, NC, 27709, United States
Keywords: Platform Integration ; Integrative Analysis ; Lipid Profiling ; Metabonomics ; Systems Biology ; Transcriptomics
Abstract:

Systems biology aims to study complex biological systems through high-throughput data. Identifying drug and/or disease biomarkers will result in a better understanding of drug efficacy and the predictive nature of animal models. We have multiple platform data collected on blood chemistry, transcripts, metabolites, and lipids from both preclinical and clinical samples. Experimental design issues such as sample size and power evaluation for multiple platforms and adjustment of confounding factors specific to omics platforms will be discussed. We have various challenges in the analysis: data preprocessing methods from various omics platform, the number of measurements much larger than the number of subjects, wide differences in the number of measurements per platform leading to imbalance in the platform contributions to the analysis, the issues of multi colinearity and multiple testing, and difficulty in proper model validation to avoid selection bias. We present statistical solutions and results on integration of various platforms to demonstrate the challenges and strengths of integrative analysis and the systems biology approach.

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Revised March 2005