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.
Version: | 1.1 |
Depends: | R (≥ 3.1.0) |
Imports: | methods, KEGGgraph, biomaRt, bigmemory, sqldf, CompQuadForm, data.table, lattice, igraph |
Suggests: | knitr, rmarkdown |
Published: | 2017-08-08 |
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 <r at manitz.org> |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | kangar00 citation info |
CRAN checks: | kangar00 results |
Reference manual: | kangar00.pdf |
Vignettes: |
Kernel Approaches for Nonlinear Genetic Association Regression |
Package source: | kangar00_1.1.tar.gz |
Windows binaries: | r-devel: kangar00_1.1.zip, r-release: kangar00_1.1.zip, r-oldrel: kangar00_1.1.zip |
OS X El Capitan binaries: | r-release: not available |
OS X Mavericks binaries: | r-oldrel: kangar00_1.1.tgz |
Old sources: | kangar00 archive |
Reverse suggests: | mboost |
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