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Table 3 Prediction accuracies for the dataset containing only strong binders and clear non-binders

From: Predicting MHC class I epitopes in large datasets

  Allele Name Binders Non-Binders Total DynaPredPOS NetMHC SVMHC YKW
   (n) (n) (n) AUC AUC AUC AUC
1 A*0101 34 284 318 0.96 1.00 0.96 0.97
2 A*0201 549 503 1052 0.97 0.99 0.97 0.95
3 A*0202 290 267 557 0.98 1.00 0.97 0.97
4 A*0203 273 255 528 0.97 0.99 0.96 0.96
5 A*0206 216 371 587 0.97 0.99 0.96 0.95
6 A*0301 123 332 455 0.93 1.00 0.94 0.95
7 A*1101 228 269 497 0.95 1.00 0.94 0.97
8 A*2402 69 272 341 0.88 0.84 0.84 0.85
9 A*2601 15 256 271 0.97 1.00 0.94 0.97
10 A*3101 114 349 463 0.96 1.00 0.96 0.97
11 A*3301 36 620 656 0.95 1.00 0.94 0.93
12 A*6801 155 235 390 0.95 1.00 0.94 0.94
13 A*6802 95 440 535 0.96 1.00 0.97 0.94
14 B*0702 45 161 206 0.95 1.00 0.96 0.93
  Average AUC     0.95 0.99 0.95 0.95
  1. Results from Dataset S, in which only strong binders (less than 10 nM binding affinity) and very clear non-binders (greater than 10,000 nM binding affinity) were included. Alleles included in Dataset F, which had fewer than 200 binders and non-binders in total in Dataset S, were no longer included in the analysis. The average AUC for each method is included at the bottom of each column.