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Table 4 Results of simulation S5

From: NEAT: an efficient network enrichment analysis test

Test p KS R 1 R 5 Sensitivity Specificity AUC
NEAT 0.343 0.62 0.98 79 % 95 % 0.925
NEA 0.024 0 0.82 73 % 96 % 0.912
LP 0 1.33 1.51 78 % 92 % 0.904
LA 0.111 1.16 1.33 73 % 93 % 0.908
LA+S 0.024 1.16 1.13 76 % 94 % 0.910
NP 0.323 1.42 1.16 70 % 94 % 0.908
  1. The best results for each indicator are in bold. p KS denotes the p-value of the Kolmogorov-Smirnov test for uniform distribution, AUC is an abbreviation for “area under the ROC curve”. The distribution of p-values under H 0 can be considered uniform for NEAT, LA and NP, and is questionable for LA+S. NEAT shows the highest values of sensitivity and AUC, and its specificity is exactly equal to the target value (95 %)