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Table 1 The top 30 genes ranked by the probability of gene selection, and the values of the pAUC and AUC.

From: A boosting method for maximizing the partial area under the ROC curve

No gene name P g (100) pAUC AUC
1 Contig41613_RC 0.728 0.036 0.666
2 NM_006931 0.728 0.035 0.678
3 Contig40831_RC 0.706 0.037 0.672
4 Contig55574_RC 0.639 0.035 0.654
5 AB023173 0.636 0.034 0.684
6 Contig63649_RC 0.626 0.034 0.749
7 NM_018964 0.586 0.034 0.660
8 AL137615 0.571 0.033 0.655
9 NM_006201 0.541 0.032 0.664
10 NM_001710 0.520 0.032 0.638
11 AA555029_RC 0.519 0.032 0.708
12 NM_020386 0.490 0.030 0.699
13 Contig7558_RC 0.488 0.032 0.659
14 Contig51464_RC 0.482 0.030 0.668
15 NM_014246 0.474 0.032 0.613
16 NM_007359 0.463 0.032 0.696
17 NM_006148 0.450 0.029 0.661
18 NM_004163 0.442 0.029 0.729
19 Contig37562_RC 0.423 0.031 0.630
20 Contig55377_RC 0.416 0.029 0.726
21 Contig47405_RC 0.404 0.029 0.718
22 NM_012261 0.393 0.029 0.721
23 NM_014400 0.379 0.028 0.681
24 Contig44409 0.368 0.029 0.692
25 AL080059 0.364 0.027 0.801
26 Contig60864 RC 0.358 0.029 0.637
27 NM_003748 0.353 0.025 0.793
28 AL080110 0.349 0.026 0.652
29 AL122101 0.343 0.028 0.708
30 NM_018120 0.336 0.026 0.671