heat_maps

Plot heat maps of gene expression data. Optionally sort the x-axis 
according to a predetermined clustering.

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

heat_maps function

<dl><dt>dat</dt>
<dd>matrix of gene expression data.</dd>
<dt>clustering</dt>
<dd>a vector of sample classifications.
Must be same length as the number of columns in dat.</dd>
<dt>y_lab</dt>
<dd>optional label for y-axis.</dd></dl>

Arguments

Heat maps — heat_maps

<dl>

<dt>dat</dt>
<dd>matrix of gene expression data.</dd>


<dt>clustering</dt>
<dd>a vector of sample classifications.
Must be same length as the number of columns in dat.</dd>


<dt>y_lab</dt>
<dd>optional label for y-axis.</dd>

</dl>

heat_maps: Heat maps

Description

Usage

Value

Arguments

Examples