anno

A dataset containing an annotation example for 4056 SNPs in three different 
pathways.

datasets

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.

Juliane Manitz

kangar00

Kernel Approaches for Nonlinear Genetic Association Regression

anno function

A <code>data frame</code> with 4056 rows and 5 variables:<dl class="dl-horizontal">
 <dt>pathway</dt><dd>includes KEGG identifiers of three example pathways</dd>
 <dt>gene</dt><dd>names of genes in the pathways</dd>
 <dt>chr</dt><dd>specifies the chromosome</dd>
 <dt>snp</dt><dd>includes rs-numbers of example SNPs</dd>
 <dt>position</dt><dd>gives positions of example SNPs</dd>
</dl>

Format

Example annotation file for three pathways. — anno

A <code>data frame</code> with 4056 rows and 5 variables:<dl class='dl-horizontal'>
 <dt>pathway</dt><dd>includes KEGG identifiers of three example pathways</dd>
 <dt>gene</dt><dd>names of genes in the pathways</dd>
 <dt>chr</dt><dd>specifies the chromosome</dd>
 <dt>snp</dt><dd>includes rs-numbers of example SNPs</dd>
 <dt>position</dt><dd>gives positions of example SNPs</dd>
</dl>

anno: Example annotation file for three pathways.

Description

Usage

Arguments

Format