Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data

In the medical field, successful classification of microarray gene expression data is of major importance for cancer diagnosis. However, due to the profusion of genes number, the performance of classifying DNA microarray gene expression data using statistical algorithms is often limited. Recently, t...

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Veröffentlicht in:Medical & biological engineering & computing 2021-03, Vol.59 (3), p.497-509
Hauptverfasser: Haznedar, Bulent, Arslan, Mustafa Turan, Kalinli, Adem
Format: Artikel
Sprache:eng
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