This is a first version of the EMRF program that incorporates the EM-based Haseman-Elston regression (Kruglyak et al., 1996, Am J of Hum Genet 58:1347-1363) and the random forest by Breiman (2001, Machine Learning, 45, 5-32) and provides various measures of importance on each marker as described in

Lee, S.S.F. Random Forests for Multi-Locus Quantitative Trait Linkage Analysis. PhD Thesis, University of Toronto, 2007.

Supplementary Information

Any questions/comments or suggestions that you may have for improving the programs or documentation can be sent to sophia[at]utstat[dot]utoronto[dot]ca.

README
Overview
GNU GENERAL PUBLIC LICENSE

1) For data at individual or genotype level (i.e. Genotype data and quantitative trait values)

Input
Output
Example
Download EMRF.IndivLevel

2) For data at the IBD level (i.e. IBD data and squared difference in sib-pair trait values)

Input
Output
Example
Download EMRF.IBDLevel