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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