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Table 5 Comparative analysis between results of the proposed method and other studies

From: iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks

  Method ACC AUC SN SP MCC Source
Enhancer Identification iEnhancer-2L 0.730 0.806 0.710 0.750 0.460 Liu et al., 2016
  EnhancerPred 0.740 0.801 0.735 0.745 0.480 Jia and He, 2016
  iEnhancer-EL 0.748 0.817 0.710 0.785 0.496 Liu et al., 2018
  iEnhancer-ECNN 0.769 0.832 0.785 0.752 0.537 This study
Enhancer Classification iEnhancer-2L 0.605 0.668 0.470 0.740 0.218 Liu et al., 2016
  EnhancerPred 0.550 0.579 0.450 0.650 0.102 Jia and He, 2016
  iEnhancer-EL 0.610 0.680 0.540 0.680 0.222 Liu et al., 2018
  iEnhancer-ECNN 0.678 0.748 0.791 0.564 0.368 This study
  1. Values which are significantly higher than the others are in bold
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BMC Genomics

ISSN: 1471-2164

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