|
Dataset
|
RLR-EN
|
RLR-AEN
|
RLRNPI-EN
|
limma
|
ENCAPP
|
SVM-AEP
|
RLRNPI-AEN
|
|---|
|
GSE2034
|
0.638
|
0.663
|
0.657
|
0.627
|
0.681
|
0.647
|
0.690
|
| |
(0.0219)
|
(0.0516)
|
(0.0516)
|
(0.0036)
|
(0.5966)
|
(0.0516)
|
(–)
|
|
GSE1456
|
0.724
|
0.734
|
0.711
|
0.619
|
0.722
|
0.717
|
0.736
|
| |
(0.9768)
|
(0.9920)
|
(0.5600)
|
(0.0114)
|
(0.9920)
|
(0.6024)
|
(–)
|
|
GSE11121
|
0.736
|
0.725
|
0.739
|
0.542
|
0.750
|
0.695
|
0.820
|
| |
(0.0171)
|
(0.0076)
|
(0.0250)
|
(0.0012)
|
(0.0250)
|
(0.0050)
|
(–)
|
|
GSE6532
|
0.721
|
0.725
|
0.725
|
0.643
|
0.730
|
0.715
|
0.747
|
| |
(0.0451)
|
(0.0424)
|
(0.0422)
|
(0.0012)
|
(0.4725)
|
(0.0219)
|
(–)
|
|
GSE4922
|
0.620
|
0.611
|
0.611
|
0.606
|
0.593
|
0.622
|
0.614
|
| |
(1.0000)
|
(1.0000)
|
(1.0000)
|
(1.0000)
|
(0.1032)
|
(1.0000)
|
(–)
|
|
GSE12093
|
0.571
|
0.518
|
0.613
|
0.685
|
0.616
|
0.607
|
0.845
|
| |
(0.0012)
|
(0.0012)
|
(0.0012)
|
(0.0208)
|
(0.0034)
|
(0.0012)
|
(–)
|
- The median AUC obtained for each method on the six datasets over ten times ten-fold cross validation. The adjusted p-values calculated using a Mann-Whitney U test are shown within parentheses, which evaluate the significance of difference in classification performance between RLRNPI-AEN and the other six methods. For each dataset, they are corrected using Holm-Bonferroni method for multiple testing. The best two median AUCs and the adjusted p-values that are less than 0.05 are shown in boldface
