Machine Learning Methods in Genetic Epidemiology

Educational Session

17th Annual Meeting of the International Genetic Epidemiology Society (IGES)


Goal

The goal of this educational session is to introduce machine learning concepts, methods and software that can be used in genetic association studies.

Date and Location

Sunday, September 14, 2008
Hyatt Regency St. Louis Riverfront (external link)

Program

1:00 - 2:00 An Introduction to Machine Learning
Jason H. Moore, Ph.D. (external link)
Dartmouth College
View Presentation
Download Orange Software (external link)
Download Weka Software (external link)
More Information - Wikipedia (external link)

2:00 - 3:00 Information Theory and Measures of Entropy
Brett Mc Kinney, Ph.D. (external link)
University of Alabama Birmingham
View Presentation (external link)
Request Software (external link)
More Information - Wikipedia (external link)

3:00 - 3:30 Break

3:30 - 4:30 Decision Trees and Random Forests
Yan Sun, Ph.D. (external link)
University of Michigan

4:30 - 5:30 Multifactor Dimensionality Reduction (MDR)
Jason H. Moore, Ph.D. (external link)
Dartmouth College
View Presentation
Download MDR Software (external link)
More Information - MDR Website (external link)
More Information - Wikipedia (external link)
MDR 101 - Parts 1 and 2 (external link)
MDR 101 - Parts 3 to 5 (external link)
History

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