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.

Getting started

Package details

AuthorFortran 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.
MaintainerGreg Jenkins <jenkins.gregory@mayo.edu>
LicenseGPL (>= 2)
Version0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("snpRF")

Try the snpRF package in your browser

Any scripts or data that you put into this service are public.

snpRF documentation built on May 2, 2019, 6:51 a.m.