Kernel Approaches for Nonlinear Genetic Association Regression

Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (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 (Friedrichs et al., 2017, ).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("kangar00")

1.3 by Juliane Manitz, 11 days ago


Browse source code at https://github.com/cran/kangar00


Authors: Juliane Manitz [aut] , Stefanie Friedrichs [aut] , Patricia Burger [aut] , Benjamin Hofner [aut] , Ngoc Thuy Ha [aut] , Saskia Freytag [ctb] , Heike Bickeboeller [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports methods, biomaRt, bigmemory, sqldf, CompQuadForm, data.table, lattice, igraph

Suggests testthat


Suggested by mboost.


See at CRAN