A deep learning model for prediction of autism status using whole-exome sequencing data
Fig 2
A. ROC-AUC plot, showing STAR-NN outperformed six traditional machine learning model and a basic deep neural network (DNN) model. Variants of different type was not separated in traditional machine learning model and the basic DNN. B. ROC-AUC plot, showing STAR-NN with selected gene features outperformed the model using other gene sets as input. C. The density plot of PGS for individuals with autism and non-autistic controls. D. The distribution plot of score generated from STAR-NN for individuals with autism and non-autistic controls.