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
        }
}
  • G. McLachlan, Richard Bean, D. Peel
  • Published 2002
  • Computer Science, Medicine, Mathematics
  • Bioinformatics
    • 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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