Ensemble dependence model for classification and prediction of cancer and normal gene expression data

@article{Qiu2005EnsembleDM,
  title={Ensemble dependence model for classification and prediction of cancer and normal gene expression data},
  author={Peng Qiu and Z. Jane Wang and K. J. Ray Liu},
  journal={Bioinformatics},
  year={2005},
  volume={21 14},
  pages={3114-21}
}
MOTIVATION DNA microarray technologies make it possible to simultaneously monitor thousands of genes' expression levels. A topic of great interest is to study the different expression profiles between microarray samples from cancer patients and normal subjects, by classifying them at gene expression levels. Currently, various clustering methods have been proposed in the literature to classify cancer and normal samples based on microarray data, and they are predominantly data-driven approaches… CONTINUE READING

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