Supplement to Learning Deep Attribution Priors Based On Prior Knowledge 1 Model Implementations and Hyperparameter Tuning LASSO: In our experiments we used the scikit-learn [ 10

All linear models were implemented using PyTorch. We used an Nvidia GTX 1080 Ti GPU for training. IG computes feature attributions by comparing a model's prediction with the prediction We also found that EG led to the best performance for models trained using the DAPr framework. RNA-seq data as follows 1. N is the total number of counts. We also scaled Dasatinib IC50 values to have zero mean and unit variance.