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Table 5 Classification performance for different cell lines

From: Predicting enhancers with deep convolutional neural networks

Cell Type AUROC AUPRC
DeepEnhancer gkmSVM DeepEnhancer gkmSVM
GM12878 0.874 0.784 0.875 0.819
H1-hESC 0.923 0.869 0.919 0.861
HepG2 0.882 0.800 0.883 0.827
HMEC 0.903 0.848 0.907 0.892
HSMM 0.904 0.830 0.910 0.856
HUVEC 0.898 0.824 0.905 0.870
K562 0.883 0.794 0.886 0.799
NHEK 0.888 0.809 0.893 0.840
NHLF 0.909 0.848 0.910 0.869
p-value 1.9e-3 1.9e-3
  1. We compare the performance of our DeepEnhancer model and gkmSVM on 9 cell types using two measures: area under receiver operating characteristic curve (AUROC) and area under precision-recall curve (AUPRC). The last row shows the p-value result of the binomial exact test, which makes us choose the alternative hypothesis that DeepEnhancer has a larger AUC score than gkmSVM