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Abstract Details

Activity Number: 55
Type: Invited
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: WNAR
Abstract - #303562
Title: Pathway Analysis and Improved Discriminant Analysis of Microarray Data from Genomic Expression Omnibus
Author(s): Herbert Pang*+
Companies: Duke University
Address: DUMC 2721, 2424 Erwin Road, Durham, NC, 27705,
Keywords: discriminant analysis ; genomics ; microarray ; pathway analysis
Abstract:

The availability of high-dimensional genomic data from public domains has provided us with opportunities to develop data analytical methods, statistical modeling strategies, and computational algorithms. These data vary in dimensions and properties. The high-dimensional nature and relatively small sample size present statistical challenges. These challenges in translational genomics have encouraged a boom in methodological investigations. In this talk, I will present examples of statistical methodologies developed as a result of secondary analysis of public genomic data. Several real datasets from genomic expression omnibus will be used as illustrations.


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