Figure 6.

Validation of GDF7 methylation in POAG pathogenesis with the ANN model

(A) Study pipeline for agent training, validation, and testing. Methylation levels of GDF7, BMPR2, Smad1, Smad5, Smad9, and Smad4 were enrolled in the training library to predict four binary POAG-related outcomes (high IOP, attenuation of RNFL thickness, high CDR, and visual field [VF] defects). (B) The ANN-based model was used to predict the four binary POAG-related outcomes. The accuracy of the model was presented by area under the curve (AUC). (C and D) Summary of the confusion matrices in the four outcome networks was displayed. (E) The contribution of input indexes (methylation levels of GDF7, Smad1, Smad5, Smad9, and Smad4) in predicting clinical outcomes related to POAG was calculated. TP, true positive; TN, true negative; FP, false positive; FN, false negative.