get_ana,data.frame-method

Produce middle part of network kernel (for internal use)

internal

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

get_ana,data.frame-method function

<dl><dt>x</dt>
<dd><code>data.frame</code> with annotation information as returned from
<code>get_anno</code></dd>
<dt>SNPset</dt>
<dd><code>vector</code> with SNPs to be analyzed</dd>
<dt>pathway</dt>
<dd><code>pathway</code> object</dd></dl>

Arguments

Juliane Manitz, Saskia Freytag, Stefanie Friedrichs

Author

Produce middle part of network kernel (for internal use) — get_ana,data.frame-method

<dl>

<dt>x</dt>
<dd><code>data.frame</code> with annotation information as returned from
<code>get_anno</code></dd>


<dt>SNPset</dt>
<dd><code>vector</code> with SNPs to be analyzed</dd>


<dt>pathway</dt>
<dd><code>pathway</code> object</dd>

</dl>

get_ana,data.frame-method: Produce middle part of network kernel (for internal use)

Description

Usage

Value

Arguments

Author