Figure 4
The performance comparison between DeepIRES and other deep learning models with different architecture. The metrics are measured with 10-fold cross validation: (A) sensitivity (SN), (B) specificity (SP), (C) balanced accuracy (balanced ACC), (D) Matthews correlation coefficient (MCC), (E) F1-score, and (F) area under the receiver operating characteristic curve (AUROC).

The performance comparison between DeepIRES and other deep learning models with different architecture. The metrics are measured with 10-fold cross validation: (A) sensitivity (SN), (B) specificity (SP), (C) balanced accuracy (balanced ACC), (D) Matthews correlation coefficient (MCC), (E) F1-score, and (F) area under the receiver operating characteristic curve (AUROC).

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