Semi-supervised training of a neural network is the most broadly effective computational translation approach.
(A) 95% confidence intervals of the DEG F-scores of each machine learning approach across all regularization parameters and case studies. The average F-score is denoted in the confidence interval. (B) Log2 fold changes of genes included in the ssNN model compared between mouse and human contexts. (C) Frequency of genes included in more than three ssNN models across case studies. (D) Comparison of DEG and pathway F-scores of mouse models and ssNN delineated by case study and disease context.