Skip to main content

Table 3 Evaluation of each modification in tenfold cross-validation after CWGAN

From: Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

  Acc Sp Sn MCC AUC
S1 0.9289 0.9347 0.8939 0.7485 0.9859
S2 0.9625 0.9851 0.8253 0.8408 0.9830
S3 0.9593 0.9912 0.7703 0.8274 0.9749
S4 0.9711 0.9937 0.8362 0.8786 0.9857
S5 0.9658 0.9811 0.8743 0.8602 0.9897
S6 0.9730 0.9957 0.8345 0.8848 0.9848
S7 0.9572 0.9539 0.9771 0.8507 0.9964
\