A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer
Fig 4
Most important features (ranked by absolute SHAP values) for test set example 11835, shown as waterfall plots.
The plot starts at a base value of -22.754, which is the expected model output (determined based on a background dataset). Each row shows how each feature positively or negatively contributes to move the value from the expected output to the predicted value for this sample. (A) Top 20 features (from all features). (B) Top 20 drugA features. (C) Top 20 drugB features. (D) Top 20 gene expression features.