Classification of genomic data: Some aspects of feature selection

Feature selection, while working with genomic data sets, is of particular interest, for classification improvement, and for the data interpretability

Tomasz Czekaj

2008

Scholarcy highlights

  • Feature selection, while working with genomic data sets, is of particular interest, for classification improvement, and for the data interpretability
  • Application of the multivariate feature selection approaches allows an efficient reduction of data dimensionality, but as demonstrated in our study, sets of the selected variables depend on the objective function of the classifier
  • It is possible to select different subset of genes for classification due to the correlation of genes but their interpretation ought to be cautiously made

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