Fig. 2From: c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer’s diseaseModel topology and performance. a Model topology for unconstrained and constrained model. Pathway constraints are used for the constrained model on the SNP input data. b)Receiver-operating characteristic (ROC) curves show increased performance (area under the curve (AUC) = 0.70) for constrained model. TPR and FPR stand for True Positive Rate and False Positive Rate respectivelyBack to article page