gene_names

The data in <code>gene_names</code> is information on each gene in <code>trauma_data</code>

datasets

Clusters features under the assumption that each cluster has a
random effect and there is an outcome variable that is related to the random
effects by a linear regression. In this way the cluster analysis is
``supervised'' by the outcome variable. An alternate specification is that
features in each cluster have the same compound symmetric normal distribution,
and the conditional distribution of the outcome given the features
has the same coefficient for each feature in a cluster.

David A Schoenfeld

supcluster

Supervised Cluster Analysis

gene_names function

<dl class="dl-horizontal">
 <dt><code>Gene.number</code></dt><dd>The number of the gene in the trauma.data set</dd>
 <dt><code>Probeset</code></dt><dd>The Affymetrix probeset code</dd>
 <dt><code>Gene.symbol.and.name</code></dt><dd>The annotation of the probeset</dd>
 <dt><code>Gene.sympbol</code></dt><dd>The gene symbol</dd>
 </dl>

Format

Trauma Data for Supervised Clustering
 — gene_names

<dl class='dl-horizontal'>
 <dt><code>Gene.number</code></dt><dd>The number of the gene in the trauma.data set</dd>
 <dt><code>Probeset</code></dt><dd>The Affymetrix probeset code</dd>
 <dt><code>Gene.symbol.and.name</code></dt><dd>The annotation of the probeset</dd>
 <dt><code>Gene.sympbol</code></dt><dd>The gene symbol</dd>
 </dl>

gene_names: Trauma Data for Supervised Clustering

Description

Arguments

Format

References