"Statistical Issues and Challenges in Analyzing High-Throughput "Omics" Data"
Xihong Lin, Harvard University
November 4, 2008 @ 3:30 pm - 4:30 pm
Location: BRB - 1412
Biostatistics
Title: Statistical Issues and Challenges in Analyzing High-Throughput "Omics" Data
With the advance of biotechnology, massive "omics" data, such as genomic and proteomic data, become rapidly available. An increasing challenge is how to analyze such high-throughput "omics" data, interpret the results, make the findings reproducible. We discuss several statistical issues in analysis of high-dimensional "omics" data in population based omics 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, biomarker discovery using proteomic data.
