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Table 6 Performance results between RP-FIRF model and the other methods on human dataset

From: Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter

ModelAcc (%)Sp (%)Sen (%)MCC (%)AUC
SLIPPER [6]91.1095.0647.2641.970.8723
DXECPPI [25]30.9025.8387.088.250.5806
PPIevo [26]78.0425.8287.8320.820.7329
LocFuse [27]80.6680.5050.8320.260.7087
CRS [28]91.5496.7234.1736.330.8196
SPAR [28]92.0997.4033.3338.360.8229
Proposed method97.89100.0074.4685.310.8842