Table 1.

Comparison of the proposed PSPred-ALE and existing methods on training and testing datasets.

Model5-Fold cross validation
Independent testing
ACC (%)AUCSE (%)SP (%)MCCACC (%)AUCSE (%)SE (%)MCC
DeepPSP80.210.87676.6583.780.606
MusiteDeep201780.170.88078.8781.460.604
MusiteDeep202080.950.88782.9578.960.620
DeepIPs80.450.88779.7081.190.61080.630.89479.6183.500.632
Ours (ψ = 33)83.580.91183.8983.260.67183.060.90782.5883.540.661
Ours (ψ = 29)84.030.91384.2283.840.68183.140.90783.1583.130.663
Model5-Fold cross validation
Independent testing
ACC (%)AUCSE (%)SP (%)MCCACC (%)AUCSE (%)SE (%)MCC
DeepPSP80.210.87676.6583.780.606
MusiteDeep201780.170.88078.8781.460.604
MusiteDeep202080.950.88782.9578.960.620
DeepIPs80.450.88779.7081.190.61080.630.89479.6183.500.632
Ours (ψ = 33)83.580.91183.8983.260.67183.060.90782.5883.540.661
Ours (ψ = 29)84.030.91384.2283.840.68183.140.90783.1583.130.663
Table 1.

Comparison of the proposed PSPred-ALE and existing methods on training and testing datasets.

Model5-Fold cross validation
Independent testing
ACC (%)AUCSE (%)SP (%)MCCACC (%)AUCSE (%)SE (%)MCC
DeepPSP80.210.87676.6583.780.606
MusiteDeep201780.170.88078.8781.460.604
MusiteDeep202080.950.88782.9578.960.620
DeepIPs80.450.88779.7081.190.61080.630.89479.6183.500.632
Ours (ψ = 33)83.580.91183.8983.260.67183.060.90782.5883.540.661
Ours (ψ = 29)84.030.91384.2283.840.68183.140.90783.1583.130.663
Model5-Fold cross validation
Independent testing
ACC (%)AUCSE (%)SP (%)MCCACC (%)AUCSE (%)SE (%)MCC
DeepPSP80.210.87676.6583.780.606
MusiteDeep201780.170.88078.8781.460.604
MusiteDeep202080.950.88782.9578.960.620
DeepIPs80.450.88779.7081.190.61080.630.89479.6183.500.632
Ours (ψ = 33)83.580.91183.8983.260.67183.060.90782.5883.540.661
Ours (ψ = 29)84.030.91384.2283.840.68183.140.90783.1583.130.663
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