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. 2015 Sep 17;32(1):50–57. doi: 10.1093/bioinformatics/btv517

Table 2.

Summary of simulation results

Correlation Methods FP FDP FN Power
0 Univariate Bonferroni 0.01 0 2.28 0.77
Univariate FDR 1.94 0.18 1.49 0.85
Lasso 185.22 0.95 0 1
Boosting 15.76 0.61 0 1
S-Boosting-1 0.01 0 0 1
S-Boosting-2 0 0 0 1
0.5 Univariate Bonferroni 85.29 0.92 2.32 0.77
Univariate FDR 172.32 0.95 0.81 0.92
Lasso 186.17 0.95 0 1
Boosting 22.31 0.69 0 1
S-Boosting-1 0.08 0.01 0 1
S-Boosting-2 0.01 0 0 1
0.8 Univariate Bonferroni 131.42 0.94 2.17 0.78
Univariate FDR 207.52 0.96 0.68 0.93
Lasso 185.14 0.95 0 1
Boosting 29.25 0.75 0 1
S-Boosting-1 0.36 0.03 0.1 0.99
S-Boosting-2 0.03 0.01 0 1

FP: the average number of false positives; FDP: false discovery proportion; FN: average number of false negative; Power: the empirical probabilities to identify the true signal