snpRF: Random Forest for SNPs to Prevent X-chromosome SNP Importance Bias

A modification of Breiman and Cutler's classification random forests modified for SNP (Single Nucleotide Polymorphism) data (based on randomForest v4.6-7) to prevent X-chromosome SNP variable importance bias compared to autosomal SNPs by simulating the process of X chromosome inactivation. Classification is based on a forest of trees using random subsets of SNPs and other variables as inputs.

Version: 0.4
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer, MASS
Published: 2015-01-20
Author: Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener. Modifications of randomForest v 4.6-7 for SNPs by Greg Jenkins based on a method developed by Stacey Winham, Greg Jenkins and Joanna Biernacka.
Maintainer: Greg Jenkins <jenkins.gregory at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: snpRF citation info
Materials: NEWS
CRAN checks: snpRF results


Reference manual: snpRF.pdf
Package source: snpRF_0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: snpRF_0.4.tgz, r-oldrel: snpRF_0.4.tgz
Old sources: snpRF archive


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