The performance of existing methods on validation or independent dataset corresponding to our main and alternate dataset
. | Main dataset . | Alternate dataset . | ||||||
---|---|---|---|---|---|---|---|---|
Methods . | Sen . | Spc . | Acc . | MCC . | Sen . | Spc . | Acc . | MCC . |
AntiCP_2.0 | 77.46 | 73.41 | 75.43 | 0.51 | 92.27 | 91.75 | 92.01 | 0.84 |
AntiCP | 100.0 | 01.16 | 50.58 | 0.07 | 89.69 | 90.20 | 89.95 | 0.80 |
ACPred | 85.55 | 21.39 | 53.47 | 0.09 | 87.11 | 83.51 | 85.31 | 0.71 |
ACPred-FL | 67.05 | 22.54 | 44.80 | -0.12 | 60.21 | 25.58 | 43.80 | -0.15 |
ACPpred-Fuse | 69.19 | 68.60 | 68.90 | 0.38 | 64.43 | 93.30 | 78.87 | 0.60 |
PEPred-Suite | 33.14 | 73.84 | 53.49 | 0.08 | 40.21 | 74.74 | 57.47 | 0.16 |
iACP | 77.91 | 32.16 | 55.10 | 0.11 | 78.35 | 76.80 | 77.58 | 0.55 |
. | Main dataset . | Alternate dataset . | ||||||
---|---|---|---|---|---|---|---|---|
Methods . | Sen . | Spc . | Acc . | MCC . | Sen . | Spc . | Acc . | MCC . |
AntiCP_2.0 | 77.46 | 73.41 | 75.43 | 0.51 | 92.27 | 91.75 | 92.01 | 0.84 |
AntiCP | 100.0 | 01.16 | 50.58 | 0.07 | 89.69 | 90.20 | 89.95 | 0.80 |
ACPred | 85.55 | 21.39 | 53.47 | 0.09 | 87.11 | 83.51 | 85.31 | 0.71 |
ACPred-FL | 67.05 | 22.54 | 44.80 | -0.12 | 60.21 | 25.58 | 43.80 | -0.15 |
ACPpred-Fuse | 69.19 | 68.60 | 68.90 | 0.38 | 64.43 | 93.30 | 78.87 | 0.60 |
PEPred-Suite | 33.14 | 73.84 | 53.49 | 0.08 | 40.21 | 74.74 | 57.47 | 0.16 |
iACP | 77.91 | 32.16 | 55.10 | 0.11 | 78.35 | 76.80 | 77.58 | 0.55 |
Sen: sensitivity, Spc: specificity, Acc: accuracy, MCC: Matthews correlation coefficient.
The performance of existing methods on validation or independent dataset corresponding to our main and alternate dataset
. | Main dataset . | Alternate dataset . | ||||||
---|---|---|---|---|---|---|---|---|
Methods . | Sen . | Spc . | Acc . | MCC . | Sen . | Spc . | Acc . | MCC . |
AntiCP_2.0 | 77.46 | 73.41 | 75.43 | 0.51 | 92.27 | 91.75 | 92.01 | 0.84 |
AntiCP | 100.0 | 01.16 | 50.58 | 0.07 | 89.69 | 90.20 | 89.95 | 0.80 |
ACPred | 85.55 | 21.39 | 53.47 | 0.09 | 87.11 | 83.51 | 85.31 | 0.71 |
ACPred-FL | 67.05 | 22.54 | 44.80 | -0.12 | 60.21 | 25.58 | 43.80 | -0.15 |
ACPpred-Fuse | 69.19 | 68.60 | 68.90 | 0.38 | 64.43 | 93.30 | 78.87 | 0.60 |
PEPred-Suite | 33.14 | 73.84 | 53.49 | 0.08 | 40.21 | 74.74 | 57.47 | 0.16 |
iACP | 77.91 | 32.16 | 55.10 | 0.11 | 78.35 | 76.80 | 77.58 | 0.55 |
. | Main dataset . | Alternate dataset . | ||||||
---|---|---|---|---|---|---|---|---|
Methods . | Sen . | Spc . | Acc . | MCC . | Sen . | Spc . | Acc . | MCC . |
AntiCP_2.0 | 77.46 | 73.41 | 75.43 | 0.51 | 92.27 | 91.75 | 92.01 | 0.84 |
AntiCP | 100.0 | 01.16 | 50.58 | 0.07 | 89.69 | 90.20 | 89.95 | 0.80 |
ACPred | 85.55 | 21.39 | 53.47 | 0.09 | 87.11 | 83.51 | 85.31 | 0.71 |
ACPred-FL | 67.05 | 22.54 | 44.80 | -0.12 | 60.21 | 25.58 | 43.80 | -0.15 |
ACPpred-Fuse | 69.19 | 68.60 | 68.90 | 0.38 | 64.43 | 93.30 | 78.87 | 0.60 |
PEPred-Suite | 33.14 | 73.84 | 53.49 | 0.08 | 40.21 | 74.74 | 57.47 | 0.16 |
iACP | 77.91 | 32.16 | 55.10 | 0.11 | 78.35 | 76.80 | 77.58 | 0.55 |
Sen: sensitivity, Spc: specificity, Acc: accuracy, MCC: Matthews correlation coefficient.
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