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Table 1 Prediction performance by staged heterogeneity learning in comparison with other prediction methods

From: Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences

Predictor Dataset Recall Precision F-score
SePre Exp104 0.454 0.234 0.308
CBTOPE Exp104 0.516 0.051 0.092
DiscoTope 2.0 Exp104 0.230 0.066 0.102
ElliPro Exp104 0.705 0.066 0.121
SEPPA 2.0 Exp104 0.524 0.096 0.163
SePre Exp163 0.314 0.159 0.211
CBTOPE Exp163 0.492 0.052 0.094
DiscoTope 2.0 Exp163 0.231 0.051 0.083
ElliPro Exp163 0.686 0.047 0.089
SEPPA 2.0 Exp163 0.429 0.063 0.110
SePre Ren92unbound 0.639 0.426 0.511
CBTOPE Ren92unbound 0.544 0.133 0.213
DiscoTope 2.0 Ren92unbound 0.279 0.162 0.205
ElliPro Ren92unbound 0.702 0.120 0.205
SEPPA 2.0 Ren92unbound 0.484 0.164 0.245
  1. The boldface data highlights the optimal performance