Ensemble gene selection by grouping for microarray data classification

  title={Ensemble gene selection by grouping for microarray data classification},
  author={Huawen Liu and Lei Liu and Huijie Zhang},
  journal={Journal of biomedical informatics},
  volume={43 1},
Selecting relevant and discriminative genes for sample classification is a common and critical task in gene expression analysis (e.g. disease diagnostic). It is desirable that gene selection can improve classification performance of learning algorithm effectively. In general, for most gene selection methods widely used in reality, an individual gene subset will be chosen according to its discriminative power. One of deficiencies of individual gene subset is that its contribution to… CONTINUE READING
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