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kangar00 (version 1.0)
Kernel Approaches for Nonlinear Genetic Association Regression
Description
Methods to extract information on pathways, genes and SNPs from
online databases. It provides functions for data preparation and evaluation
of genetic influence on a binary outcome using the logistic kernel machine
test (LKMT). Three different kernel functions are offered to analyze genotype
information in this variance component test: A linear kernel, a size-adjusted
kernel and a network based kernel.