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Table 1 Comparison of the three existing prediction methods with the Bigram-PGK predictor using 10-fold cross-validation scheme

From: Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix

Predictor

Sensitivity

Specificity

Precision

Accuracy

MCC

AUC

iPGK_PseAAC [39]

0.4555

0.9864

0.9548

0.8119

0.5692

0.7230

CKSAAP_PhoglySite [16]

0.8285

0.9420

0.8765

0.9043

0.7818

0.8854

Phogly_PseAAC [38]

0.6927

0.7193

0.5518

0.7102

0.3951

0.7062

Bigram-PGK

0.9642

0.8973

0.8253

0.9193

0.8330

0.9306

  1. Highest values of the metrics are highlighted in bold