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Table 6 Comparison with methods based on hand-crafted features

From: A multitask transfer learning framework for the prediction of virus-human protein–protein interactions

Dataset Model AUC AP Precision Recall F1
Zhou’s H1N1 Denovo 0.8656 0.8619 77.75 77.95 77.85
Generalized 0.8600 0.8606 76.96 77.17 77.06
Hybrid 0.937
MTT 0.9461 0.9589 86.28 86.51 86.40
Zhou’s Ebola Denovo 0.8864 0.8366 83.44 84.00 83.72
Generalized 0.9154 0.9078 84.77 85.33 85.05
MTT 0.9680 0.9766 90.93 91.53 91.23
Denovo_slim Denovo 0.8701 0.8631 81.92 82.12 82.02
Generalized 0.8891 0.8851 84.74 84.94 84.84
MTT 0.9221 0.9324 83.92 84.12 84.02
Barman Denovo 0.8217 0.8415 74.60 74.98 74.79
Generalized 0.8214 0.8458 74.90 75.27 75.08
MTT 0.9804 0.9802 93.53 94.05 93.79
Bacillus Denovo 0.9843 0.9650 94.80 94.83 94.83
Generalized 0.9833 0.9668 95.75 95.78 95.76
MTT 0.9997 0.9992 98.75 98.78 98.76
Yersina Denovo 0.9712 0.9302 93.14 93.16 93.15
Generalized 0.9758 0.9362 94.01 94.03 94.02
MTT 0.9988 0.9971 97.32 97.34 97.32
Franci Denovo 0.9782 0.9584 95.55 95.62 95.58
Generalized 0.9799 0.9565 95.84 95.91 95.88
MTT 0.9998 0.9996 98.95 99.03 98.99
  1. The bold font is used to highlight highest scores corresponding to each dataset