Improving classification of microarray data using prototype-based feature selection

@article{Hanczar2003ImprovingCO,
  title={Improving classification of microarray data using prototype-based feature selection},
  author={Blaise Hanczar and M{\'e}lanie Courtine and Arriel Benis and Corneliu Henegar and Karine Cl{\'e}ment and Jean-Daniel Zucker},
  journal={SIGKDD Explorations},
  year={2003},
  volume={5},
  pages={23-30}
}
This paper addresses the problem of improving accuracy in the machine-learning task of classification from microarray data. One of the known issues specifically related to microarray data is the large number of inputs (genes) versus the small number of available samples (conditions). A promising direction of research to decrease the generalization error of classification algorithms is to perform gene selection so as to identify those genes which are potentially most relevant for the… CONTINUE READING
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