Biclustering with heterogeneous variance.

@article{Chen2013BiclusteringWH,
  title={Biclustering with heterogeneous variance.},
  author={Guanhua Chen and Patrick F. Sullivan and Michael R. Kosorok},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2013},
  volume={110 30},
  pages={
          12253-8
        }
}
In cancer research, as in all of medicine, it is important to classify patients into etiologically and therapeutically relevant subtypes to improve diagnosis and treatment. One way to do this is to use clustering methods to find subgroups of homogeneous individuals based on genetic profiles together with heuristic clinical analysis. A notable drawback of existing clustering methods is that they ignore the possibility that the variance of gene expression profile measurements can be heterogeneous… CONTINUE READING

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