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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