[Retracted] Identification of Signature Genes and Construction of an Artificial Neural Network Model of Prostate Cancer

Figure 4

(a) The ANN model based on the gene score of 30 PCaSGs. The circles in the left column are the input layer units (gene scores of 30 PCaSGs), the circles in the middle column are the hidden layer units (consisting of 5 nodes), and the circles in the right column are the output layer units (two groups). (b) The ROC curve of the ANN model. AUC: area under curve. 95% CI : the 95% confidence interval. Abscissa: 1-specificity (false positive rate); ordinate: sensitivity (true positive rate).

(a)

(b)