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Table 5 Results obtained over the external dataset

From: A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation

Method ACC ER(%) FN FP ARI NMI
Input Data + K-means 0.6042 39.58 18 0 0.0445 0.2133
AE + K-means 0.8542 14.57 7 0 0.4727 0.4541
DERC (\(\beta =0.75\)) 0.9375 6.25 3 0 0.7374 0.6554
  1. Note that in this case, the input data corresponds to the GSE50220 series after selecting the CpG sites extracted with the statistical analysis in the GSE32393 series
  2. The bold values point out the method that has obtained the best results