Performance metrics of various trained models on the dbPTM nucleocytoplasmic independent test set with ProtT5 features. The highest value in each column have been highlighted in bold.
Model . | MCC . | ACC . | SN . | SP . |
---|---|---|---|---|
MLP (ProtT5) | 0.265 | 0.805 | 0.765 | 0.806 |
MLP (Ankh) | 0.262 | 0.815 | 0.734 | 0.811 |
Stack-OglyPred-PLM | 0.282 | 0.823 | 0.762 | 0.825 |
Model . | MCC . | ACC . | SN . | SP . |
---|---|---|---|---|
MLP (ProtT5) | 0.265 | 0.805 | 0.765 | 0.806 |
MLP (Ankh) | 0.262 | 0.815 | 0.734 | 0.811 |
Stack-OglyPred-PLM | 0.282 | 0.823 | 0.762 | 0.825 |
Performance metrics of various trained models on the dbPTM nucleocytoplasmic independent test set with ProtT5 features. The highest value in each column have been highlighted in bold.
Model . | MCC . | ACC . | SN . | SP . |
---|---|---|---|---|
MLP (ProtT5) | 0.265 | 0.805 | 0.765 | 0.806 |
MLP (Ankh) | 0.262 | 0.815 | 0.734 | 0.811 |
Stack-OglyPred-PLM | 0.282 | 0.823 | 0.762 | 0.825 |
Model . | MCC . | ACC . | SN . | SP . |
---|---|---|---|---|
MLP (ProtT5) | 0.265 | 0.805 | 0.765 | 0.806 |
MLP (Ankh) | 0.262 | 0.815 | 0.734 | 0.811 |
Stack-OglyPred-PLM | 0.282 | 0.823 | 0.762 | 0.825 |
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