Fig. 3

Multi-class clinical phenotype prediction and regulatory network prioritization in Alzheimer’s disease. A Fivefold cross-validation performance of DeepGAMI (Dual modality: dark blue, Single modality: orange) on three different phenotypes: neuritic plaque measure (CERAD score, multi-class), cognitive impairment (COGDX score, multi-class) and neurofibrillary tangle pathology (BRAAK stage, binary) in comparison with Lasso (brown), LR (light blue), Random Forest (yellow), SVM (purple), MLP (pink), and MOGONET (green). B ROC curves of held-out test samples for cognitive COGDX phenotype (blue) and late BRAAK stage (green). C Classification accuracies of the independent dataset for COGDX phenotype and BRAAK stage. D Enrichment analysis of prioritized genes for no cognitive impairment, mild cognitive impairment, and cognitive impairment (AD/Dementia) classes of COGDX phenotype. E Select an example of a prioritized regulatory network for the cognitive impairment phenotype. The edge thickness between any two nodes corresponds to the prioritized link importance score of the associated nodes. The edge color represents the three classes