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Table 7 Experiments result for the second group of data-sets

From: CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification

  CORENup LeNup Best for [35]
HS - LC 0,912 0,926 0,65
HS - PM 0,875 0,876 0,67
HS - 5U 0,758 0,732 0,7
DM - LC 0,734 0,724 0,7
DM - PM 0,738 0,734 0,7
DM - 5U 0,746 0,695 0,7
Y - WG 0,968 0,939 0,77
Y - PM 0,909 0,933 0,79
  1. The AUC values are calculated as explained in the work [35] where the data-sets were originally proposed. The last column reports the results of the best performer among the 8 methods compared in the original paper. Best values are shown in boldface