hsa04020

An object of class <code>pathway</code> for the pathway with KEGG 
identifier hsa04020.

datasets

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).

Juliane Manitz

kangar00

Kernel Approaches for Nonlinear Genetic Association Regression

Benjamin Hofner

Stefanie Friedrichs

Patricia Burger

Ngoc Thuy Ha

Saskia Freytag

Heike Bickeboeller

hsa04020 function

A <code>pathway</code> object including 180 genes.<dl>
 <dt>id</dt>
<dd>KEGG identifier of the example pathways</dd> <dt>adj</dt>
<dd>gives the quadratic adjacency <code>matrix</code> for the pathway and with 
that the network topology. Matrix dimensions equal the number of genes in the 
pathway</dd> <dt>sign</dt>
<dd>includes a <code>vector</code> of signs to distinguish activations and 
inhibitions in the adjacency <code>matrix</code></dd>
</dl>

Format

Example pathway object for pathway hsa04020. — hsa04020

A <code>pathway</code> object including 180 genes.<dl>
 <dt>id</dt>
<dd>KEGG identifier of the example pathways</dd>

 <dt>adj</dt>
<dd>gives the quadratic adjacency <code>matrix</code> for the pathway and with 
that the network topology. Matrix dimensions equal the number of genes in the 
pathway</dd>

 <dt>sign</dt>
<dd>includes a <code>vector</code> of signs to distinguish activations and 
inhibitions in the adjacency <code>matrix</code></dd>


</dl>

hsa04020: Example `pathway` object for pathway hsa04020.

Description

Usage

Arguments

Format