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Table 4 Comparison with DeepViral—a method that can utilize knowledge from the disease phenotype, virus taxonomy, the human PPI network, and the protein GO annotation

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

Dataset Model AUC AP Precision Recall F1
2697049 DeepViral 0.7288 0.0015 0.07 0.07 0.07
MTT 0.7566 0.0021 0.97 0.97 0.97
333761 DeepViral 0.8009 0.0147 1.72 1.72 1.72
MTT 0.8160 0.0262 6.35 6.35 6.35
2043570 DeepViral 0.7708 0.0116 0.52 0.52 0.52
MTT 0.6956 0.0096 1.89 1.91 1.90
644788 DeepViral 0.9325 0.0357 3.70 3.70 3.70
MTT 0.9537 0.0302 3.54 22.04 5.46
  1. The bold font is used to highlight highest scores corresponding to each dataset
  2. Results from the pair-wise t-test indicate that MTT is significantly better than DeepViral on three datasets (2697049, 333761, and 2043570) with a p-value smaller than 0.05. On the 644788 dataset, the difference is not statistically significant