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Table 3 Performance of different coding methods

From: SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction

Encoding methods Length ACC(%) Spec(%) Sens(%) Prec(%) MCC(%) AUC(%)
ACC+CT+LD+AC 1203 92.31 ± 0.66 94.37 ± 0.25 90.26 ± 1.28 94.13 ± 0.25 84.70 ± 1.27 97.00
ACC+CT+LD 993 92.00 ± 0.66 93.31 ± 1.04 90.69 ± 0.57 93.14 ± 1.01 84.03 ± 1.33 97.03
ACC+CT+AC 573 95.19 ± 0.68 97.05 ± 0.65 93.33 ± 1.20 96.94 ± 0.65 90.45 ± 1.34 98.60
ACC+LD+AC 860 91.41 ± 0.52 93.06 ± 0.87 89.76 ± 0.64 92.83 ± 0.86 82.87 ± 1.06 96.58
CT+LD+AC 1183 89.50 ± 0.68 90.97 ± 0.58 88.02 ± 1.47 90.70 ± 0.50 79.04 ± 1.33 95.62
ACC+CT 363 89.79 ± 0.65 90.79 ± 0.81 88.79 ± 0.87 90.61 ± 0.76 79.61 ± 1.29 95.78
ACC+LD 650 88.93 ± 0.43 89.67 ± 1.37 88.20 ± 1.53 89.54 ± 1.14 77.91 ± 0.88 95.05
ACC+AC 230 85.74 ± 1.80 87.20 ± 1.74 84.29 ± 2.66 86.82 ± 1.74 71.54 ± 3.60 92.59
CT+LD 973 90.47 ± 0.52 92.76 ± 0.57 88.18 ± 0.93 92.42 ± 0.55 81.03 ± 1.02 95.97
CT+AC 553 89.06 ± 0.55 90.70 ± 0.87 87.43 ± 1.34 90.40 ± 0.73 78.19 ± 1.07 94.74
LD+AC 840 91.44 ± 0.44 92.72 ± 0.72 90.17 ± 0.56 92.54 ± 0.69 82.92 ± 0.89 96.60