cluster_genes

Sorts genes into clusters using mixtures of normal distributions with
covariance matrices restricted to be multiples of the identity matrix.

Provides unsupervised selection and clustering of microarray data
using mixture models. Following the methods described in McLachlan, Bean and
Peel (2002) <doi:10.1093/bioinformatics/18.3.413> a subset of genes are selected
based one the likelihood ratio statistic for the test of one versus two
components when fitting mixtures of t-distributions to the expression data
for each gene. The dimensionality of this gene subset is further reduced through
the use of mixtures of factor analyzers, allowing the tissue samples to be
clustered by fitting mixtures of normal distributions.

Andrew Jones

EMMIXgene

A Mixture Model-Based Approach to the Clustering of Microarray
Expression Data

Andrew Thomas Jones

cluster_genes function

<dl><dt>gen</dt>
<dd>an EMMIXgene object produced by select_genes().</dd>
<dt>g</dt>
<dd>The desired number of gene clusters. If not specified will be 
selected automatically on the basis of BIC.</dd></dl>

Arguments

Clusters genes using mixtures of normal distributions — cluster_genes

<dl>

<dt>gen</dt>
<dd>an EMMIXgene object produced by select_genes().</dd>


<dt>g</dt>
<dd>The desired number of gene clusters. If not specified will be 
selected automatically on the basis of BIC.</dd>

</dl>

cluster_genes: Clusters genes using mixtures of normal distributions

Description

Usage

Value

Arguments

Examples