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Table 2 Performance of NEAT in simulations S1 and S2

From: NEAT: an efficient network enrichment analysis test

Simulation p KS R 1 R 5 Sensitivity Specificity AUC
S1 0.510 1.56 1.17 73 % 94 % 0.894
S2 0.125 1.20 1.12 78 % 94 % 0.927
  1. p KS denotes the p-value of the Kolmogorov-Smirnov test for uniform distribution, AUC is an abbreviation for “area under the ROC curve”. In both simulations, the distribution of p-values under H 0 is uniform and the specificity is close to the expected 95 % value. Sensitivity and AUC are higher in simulation S2