kangar00

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, <doi:10.1155/2017/6742763>).

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Description file content

Package
kangar00
Type
Package
Title
Kernel Approaches for Nonlinear Genetic Association Regression
Version
1.3
Date
2019-02-02
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
Description
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, ).
License
GPL-2
Collate
'pathway.r' 'GWASdata.r' 'data.R' 'kernel.r' 'lkmt.r'
Depends
R (>= 3.1.0)
Imports
methods, biomaRt, bigmemory, sqldf, CompQuadForm, data.table, lattice, igraph
LazyData
true
Suggests
testthat
NeedsCompilation
no
RoxygenNote
6.1.1
Packaged
2019-02-09 20:51:06 UTC; jmanitz
Repository
CRAN
Date/Publication
2019-02-10 03:43:16 UTC

install.packages('kangar00')

1.3

11 days ago

Juliane Manitz

GPL-2

Depends on

R (>= 3.1.0)

Imports

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

Suggests

testthat

Discussions