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Abstract Details

Activity Number: 532
Type: Roundtables
Date/Time: Wednesday, August 1, 2012 : 12:30 PM to 1:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #304835
Title: Bayesian Models for High-Throughput Omics Data
Author(s): Yuan Ji*+
Companies: Northshore University Healthcare System
Address: Center for Clinical and Research Informatics, Evanston, IL, 60201, United States
Keywords: Next-generation Sequencing ; Integration ; Bayesian Inference ; Genomics ; Epigenetics
Abstract:

The roundtable is for statisticians to discuss ideas, methods, and software for analyzing 'omics data. Bayesian models will be the focus of the discussion although discussion will not be limited to Bayesian approaches. Recent works such as methods for next-generation sequencing data are encouraged. Another important area for Bayesian modeling in omics research is integration of diverse types of data. Ideas on data integration will also be encouraged for discussion.


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