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

BMC Bioinformatics

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

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

ISSN: 1471-2105