alon_data

<p>A dataset containing centred and normalized values of the 
logged expression values of a subset of 2000 genes taken from 
Alon, Uri, et al. "Broad patterns of gene expression revealed by clustering
analysis of tumor and normal colon tissues probed by oligonucleotide arrays."
Proceedings of the National Academy of Sciences 96.12 (1999): 6745-6750.
The method of subset selection was described in G. J. McLachlan, R. W. Bean, 
D. Peel; A mixture model-based approach to the clustering of microarray 
expression data ,
Bioinformatics, Volume 18, Issue 3, 1 March 2002, Pages 413–422.</p>

datasets

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

alon_data function

<p>A data frame with 2000 rows (genes) and 62 variables (samples).</p>

alon_data: Normalized gene expression values from Alon et al. (1999).

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