Table 4 Optimal subsets of AAPPs and number of selected features identified by EpicCapo +REF using 14 HLA-A allele datasets
Allele | AUC of EpicCapo+REF | IDs of AAPP used | # of features selected |
|---|---|---|---|
A *01:01 | 0.980 | 1,11,14,20,24,26,28,33 | 72 |
A *02:01 | 0.958 | 9,11,14,24,26,28,31 | 62 |
A *02:02 | 0.913 | 14,28 | 18 |
A *02:03 | 0.925 | 3,9,11,14,19,24,25,26,28,29,31,33 | 104 |
A *02:06 | 0.926 | 1,3,9,11,13,14,18,19,21,22,24,25,26,27,28,31,34,38,39 | 141 |
A *03:01 | 0.946 | 11,14,20,24,26,28,33 | 58 |
A *11:01 | 0.956 | 11,14,26,28 | 35 |
A *24:02 | 0.877 | 5,6,14,24,28,31 | 31 |
A *26:01 | 0.960 | 14,28 | 18 |
A *29:02 | 0.955 | 5,8,9,20,33 | 23 |
A *31:01 | 0.940 | 11,14,20,26,28,33 | 46 |
A *33:01 | 0.940 | 14,28 | 17 |
A *68:01 | 0.904 | 11,14,20,26,28,33 | 40 |
A *68:02 | 0.913 | 1,9,11,14,20,22,24,26,28,33,39 | 79 |
Average | 0.935 | Â | Â |