Table 9

The performance of existing methods on validation or independent dataset corresponding to our main and alternate dataset

Main datasetAlternate dataset
MethodsSenSpcAccMCCSenSpcAccMCC
AntiCP_2.077.4673.4175.430.5192.2791.7592.010.84
AntiCP100.001.1650.580.0789.6990.2089.950.80
ACPred85.5521.3953.470.0987.1183.5185.310.71
ACPred-FL67.0522.5444.80-0.1260.2125.5843.80-0.15
ACPpred-Fuse69.1968.6068.900.3864.4393.3078.870.60
PEPred-Suite33.1473.8453.490.0840.2174.7457.470.16
iACP77.9132.1655.100.1178.3576.8077.580.55
Main datasetAlternate dataset
MethodsSenSpcAccMCCSenSpcAccMCC
AntiCP_2.077.4673.4175.430.5192.2791.7592.010.84
AntiCP100.001.1650.580.0789.6990.2089.950.80
ACPred85.5521.3953.470.0987.1183.5185.310.71
ACPred-FL67.0522.5444.80-0.1260.2125.5843.80-0.15
ACPpred-Fuse69.1968.6068.900.3864.4393.3078.870.60
PEPred-Suite33.1473.8453.490.0840.2174.7457.470.16
iACP77.9132.1655.100.1178.3576.8077.580.55

Sen: sensitivity, Spc: specificity, Acc: accuracy, MCC: Matthews correlation coefficient.

Table 9

The performance of existing methods on validation or independent dataset corresponding to our main and alternate dataset

Main datasetAlternate dataset
MethodsSenSpcAccMCCSenSpcAccMCC
AntiCP_2.077.4673.4175.430.5192.2791.7592.010.84
AntiCP100.001.1650.580.0789.6990.2089.950.80
ACPred85.5521.3953.470.0987.1183.5185.310.71
ACPred-FL67.0522.5444.80-0.1260.2125.5843.80-0.15
ACPpred-Fuse69.1968.6068.900.3864.4393.3078.870.60
PEPred-Suite33.1473.8453.490.0840.2174.7457.470.16
iACP77.9132.1655.100.1178.3576.8077.580.55
Main datasetAlternate dataset
MethodsSenSpcAccMCCSenSpcAccMCC
AntiCP_2.077.4673.4175.430.5192.2791.7592.010.84
AntiCP100.001.1650.580.0789.6990.2089.950.80
ACPred85.5521.3953.470.0987.1183.5185.310.71
ACPred-FL67.0522.5444.80-0.1260.2125.5843.80-0.15
ACPpred-Fuse69.1968.6068.900.3864.4393.3078.870.60
PEPred-Suite33.1473.8453.490.0840.2174.7457.470.16
iACP77.9132.1655.100.1178.3576.8077.580.55

Sen: sensitivity, Spc: specificity, Acc: accuracy, MCC: Matthews correlation coefficient.

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