jmanitz/kangar00: Kernel Approaches for Nonlinear Genetic Association Regression
Version 1.1

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.

Getting started

Package details

AuthorJuliane Manitz [aut], Stefanie Friedrichs [aut], Patricia Burger [aut], Benjamin Hofner [aut], Ngoc Thuy Ha [aut], Saskia Freytag [ctb], Heike Bickeboeller [ctb]
MaintainerJuliane Manitz <[email protected]>
LicenseGPL-2
Version1.1
Package repositoryView 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")
jmanitz/kangar00 documentation built on Aug. 9, 2017, 12:04 a.m.