jmanitz/kangar00: Kernel Approaches for Nonlinear Genetic Association Regression

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.

README.md

Vignettes Man pages API and functions Files

Package details
Author	Juliane Manitz [aut], Stefanie Friedrichs [aut], Patricia Burger [aut], Benjamin Hofner [aut], Ngoc Thuy Ha [aut], Saskia Freytag [ctb], Heike Bickeboeller [ctb]
Maintainer	Juliane Manitz <[email protected]>
License	GPL-2
Version	1.2
Package repository	View on GitHub
Installation	Install the latest version of this package by entering the following in R: `install.packages("devtools") library(devtools) install_github("jmanitz/kangar00")`