Improving classification of microarray data using prototype-based feature selection

  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},
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
Highly Cited
This paper has 69 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
34 Extracted Citations
0 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 34 extracted citations

69 Citations

Citations per Year
Semantic Scholar estimates that this publication has 69 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…