Joint neighborhood entropy-based gene selection method with fisher score for tumor classification
Tumor classification is one of the most vital technologies for cancer diagnosis. Due to the high dimensionality, gene selection (finding a small, closely related gene set to accurately classify tumor) is an important step for improving gene expression data classification performance. Traditional rou...
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Veröffentlicht in: | Applied intelligence (Dordrecht, Netherlands) Netherlands), 2019-04, Vol.49 (4), p.1245-1259 |
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