trauma_data

<p>This is a genomic data set, saved as an R save file, that loaded with <code>data("trauma_data")</code> and  <code>data("gene_names")</code> The data frame <code>trauma_data</code> has 147 observations on patients with trauma. The first 87 columns are gene expression values and the final column labeled outcome is the multiple organ failure score for the patient.  The data in <code>gene_names</code> is information on each gene in <code>trauma_data</code></p>

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

trauma_data function

<p>A data frame <code>trauma_data</code> with 147 observations the first 87 columns are gene expression data and the last column labeled <code>outcome</code> is the maximum organ failure score. A data frame <code>gene_names</code> with the affymetrix description of the probesets in <code>trauma_data</code>.</p>

trauma_data: Trauma Data for Supervised Clustering

Description

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