Table 2 |
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|
Prediction performances as measured by AUC values of ROC curves. |
||||
|
MHC |
Data Size |
SMM |
SMMPMBEC |
NetMHC |
|
|
||||
|
H-2_Db |
303 |
0.909 |
0.901 |
0.933 |
|
H-2_Dd |
85 |
0.813 |
0.837 |
0.925 |
|
H-2_Kb |
223 |
0.811 |
0.833 |
0.850 |
|
H-2_Kd |
176 |
0.928 |
0.931 |
0.939 |
|
H-2_Kk |
164 |
0.772 |
0.793 |
0.790 |
|
H-2_Ld |
102 |
0.932 |
0.942 |
0.977 |
|
HLA_A-0101 |
1157 |
0.977 |
0.977 |
0.982 |
|
HLA_A-0201 |
3089 |
0.946 |
0.946 |
0.957 |
|
HLA_A-0202 |
1447 |
0.898 |
0.899 |
0.900 |
|
HLA_A-0203 |
1443 |
0.916 |
0.916 |
0.921 |
|
HLA_A-0206 |
1437 |
0.913 |
0.916 |
0.927 |
|
HLA_A-0301 |
2094 |
0.927 |
0.928 |
0.937 |
|
HLA_A-1101 |
1985 |
0.938 |
0.939 |
0.951 |
|
HLA_A-2301 |
104 |
0.793 |
0.840 |
0.852 |
|
HLA_A-2402 |
197 |
0.803 |
0.801 |
0.825 |
|
HLA_A-2403 |
254 |
0.919 |
0.932 |
0.918 |
|
HLA_A-2601 |
672 |
0.916 |
0.924 |
0.956 |
|
HLA_A-2902 |
160 |
0.912 |
0.916 |
0.935 |
|
HLA_A-3001 |
669 |
0.935 |
0.941 |
0.947 |
|
HLA_A-3002 |
92 |
0.878 |
0.830 |
0.744 |
|
HLA_A-3101 |
1869 |
0.925 |
0.925 |
0.928 |
|
HLA_A-3301 |
1140 |
0.923 |
0.925 |
0.915 |
|
HLA_A-6801 |
1141 |
0.885 |
0.885 |
0.883 |
|
HLA_A-6802 |
1434 |
0.899 |
0.899 |
0.899 |
|
HLA_A-6901 |
833 |
0.867 |
0.880 |
0.880 |
|
HLA_B-0702 |
1262 |
0.959 |
0.960 |
0.965 |
|
HLA_B-0801 |
708 |
0.932 |
0.956 |
0.955 |
|
HLA_B-1501 |
978 |
0.937 |
0.940 |
0.941 |
|
HLA_B-1801 |
118 |
0.881 |
0.880 |
0.838 |
|
HLA_B-2705 |
969 |
0.936 |
0.941 |
0.938 |
|
HLA_B-3501 |
736 |
0.883 |
0.889 |
0.875 |
|
HLA_B-4002 |
118 |
0.832 |
0.843 |
0.754 |
|
HLA_B-4402 |
119 |
0.731 |
0.739 |
0.778 |
|
HLA_B-4403 |
119 |
0.757 |
0.753 |
0.763 |
|
HLA_B-4501 |
114 |
0.825 |
0.866 |
0.862 |
|
HLA_B-5101 |
244 |
0.876 |
0.895 |
0.886 |
|
HLA_B-5301 |
254 |
0.889 |
0.885 |
0.899 |
|
HLA_B-5401 |
255 |
0.923 |
0.935 |
0.903 |
|
HLA_B-5701 |
59 |
0.826 |
0.843 |
0.826 |
|
HLA_B-5801 |
988 |
0.942 |
0.945 |
0.961 |
|
Mamu_A-01 |
525 |
0.855 |
0.854 |
0.861 |
|
Mamu_A-02 |
283 |
0.765 |
0.783 |
0.809 |
|
Mamu_A-11 |
468 |
0.883 |
0.894 |
0.894 |
|
Mamu_B-01 |
205 |
0.949 |
0.956 |
0.967 |
|
Mamu_B-17 |
300 |
0.934 |
0.943 |
0.954 |
|
Patr_B-0101 |
132 |
0.964 |
0.975 |
0.969 |
|
|
||||
|
average AUC |
0.887 |
0.894 |
0.897 |
|
|
t-test|SMM |
NA |
0.001 |
0.057 |
|
|
t-test|NetMHC |
0.057 |
0.470 |
NA |
|
|
|
||||
|
For each MHC-specific binding data set, 5-fold cross validation was carried out using one of the four methods listed. Area-Under-Curve (AUCs) from the 5-fold cross validations are presented here. Also shown are p-values of average AUC values calculated using Student's t-test (2-tail, paired) with respect to the SMM and NetMHC prediction methods. |
||||
|
Kim et al. BMC Bioinformatics 2009 10:394 doi:10.1186/1471-2105-10-394 |
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