PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction
Table 6
P-values of statistical t-test for ACC: Ablation experiments of PepLM-GNN on five-fold cross-validation set. This table reports the p-values from t-tests comparing the complete PepLM-GNN model with each of its ablation variants. Ablation variants include: A (pretrained module + classification module), B (pretrained module + GAT + classification module), C (pretrained module + GCN + classification module), D (pretrained module + GIN + classification module). T-tests are based on the mean ACC values from five-fold cross-validation on the benchmark dataset (17244 samples: 8622 positive + 8622 negative pairs). A p-value < 0.05 indicates that the removed module makes a statistically significant contribution to the ACC of PepLM-GNN.