mixKernel.users.guide

Find the location of the mixKernel User's Guide and optionnaly opens it

Kernel-based methods are powerful methods for integrating
heterogeneous types of data. mixKernel aims at providing methods to combine
kernel for unsupervised exploratory analysis. Different solutions are
provided to compute a meta-kernel, in a consensus way or in a way that
best preserves the original topology of the data. mixKernel also integrates
kernel PCA to visualize similarities between samples in a non linear space
and from the multiple source point of view
<doi:10.1093/bioinformatics/btx682>. A method to select (as well as
funtions to display) important variables is also provided
<doi:10.1093/nargab/lqac014>.

Nathalie Vialaneix

mixKernel

Omics Data Integration Using Kernel Methods

Celine Brouard

Remi Flamary

Julien Henry

Jerome Mariette

mixKernel.users.guide function

<dl><dt>html</dt>
<dd>logical. Should the document returned by the function be the
compiled PDF or the Rmd source. Default to <code>TRUE</code></dd>
<dt>view</dt>
<dd>logical. Should the document be opened using the default HTML
viewer? Default to <code>html</code>. It has no effect if <code>html = FALSE</code></dd></dl>

Arguments

Jerome Mariette &lt;jerome.mariette@inrae.fr&gt;
Nathalie Vialaneix &lt;nathalie.vialaneix@inrae.fr&gt;

Author

View mixKernel User's Guide — mixKernel.users.guide

<dl>

<dt>html</dt>
<dd>logical. Should the document returned by the function be the
compiled PDF or the Rmd source. Default to <code>TRUE</code></dd>


<dt>view</dt>
<dd>logical. Should the document be opened using the default HTML
viewer? Default to <code>html</code>. It has no effect if <code>html = FALSE</code></dd>

</dl>

mixKernel.users.guide: View mixKernel User's Guide

Description

Usage

Value

Arguments

Author

Details

Examples