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Speaker:
Xihong Lin, Ph.D.
Department of Biostatistics
Harvard School of Public Health
Statistical Issues and Challenges in Analyzing High-Throughput "Omics" Data in Population-Based Studies.
With the advance of biotechnology, massive "omics" data, such as genomic and proteomic data, become rapidly available in population-based studies. An increasing challenge is how to analyze such high-throughput "omics" data, interpret the results, and make the findings reproducible. We discuss several statistical issues in analysis of high dimensional "omics" data in population-based studies. We present statistical methods for analysis of several types of "omics" data, including incorporation of biological structures in analysis of data from genome-wide association studies, analysis of genetic pathway data and gene selection, and biomarker discovery using proteomic data.
Thursday, October 16, 2008
HP Smith Conference Room (W256 GH)
3:30 to 4:25 p.m.
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