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Parallel Session #5

This workshop focuses on the challenges and methodologies for ensuring consistency in high-dimensional expression data, essential for advancing biomarker utility in clinical settings. Co-chaired by Fred Immermann and Sue-Jane Wang, the session features presentations that cover microarray quality control data, proteomic experiences in biomarker development, and prognostic model building in pharmacogenomics trials. Led by experts from FDA and industry leaders, this event highlights critical paths for bioinformatics in translational medicine, aiming to bridge the gap between research and clinical application.

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Parallel Session #5

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  1. Parallel Session #5 High Dimensional Expression Data: Consistency Across Platforms and Statistical Prediction Modeling Co-Chairs Fred Immermann M.S. Sue-Jane Wang, Ph.D. Associate Director Associate Director, AD/PGtx Translational medicine Biostatistics Biostatistics/Translational Sciences Wyeth Research CDER/U.S. FDA FDA/Industry Workshop, September 29, 2006

  2. Presentations 10:15am An Analysis of MicroArray Quality Control Data James J. Chen, Ph.D., NCTR/FDA 10:40am Challenges In Progressing Biomarkers To Clinical Use Proteomic Experiences Chris Harbron Ph.D., Astra Zeneca 11:05am Prognostic Model Building with Biomarkers in Pharmacogenomics Trials Li-An Xu, Ph.D., Douglas Robinson, Ph.D., BMS 11:30am Session ends Wang SJ, ENAR - critical path

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