A mixture model-based approach to the clustering of microarray expression data
@article{McLachlan2002AMM, title={A mixture model-based approach to the clustering of microarray expression data}, author={G. McLachlan and Richard Bean and D. Peel}, journal={Bioinformatics}, year={2002}, volume={18 3}, pages={ 413-22 } }
MOTIVATION
This paper introduces the software EMMIX-GENE that has been developed for the specific purpose of a model-based approach to the clustering of microarray expression data, in particular, of tissue samples on a very large number of genes. The latter is a nonstandard problem in parametric cluster analysis because the dimension of the feature space (the number of genes) is typically much greater than the number of tissues. A feasible approach is provided by first selecting a subset of the… CONTINUE READING
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