Skip to main content
Fig. 4 | Journal of Cheminformatics

Fig. 4

From: DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists

Fig. 4

Feature importance from DeepAR (A, B) and LGBM-PubChem (C, D) as ranked by SHAP values based on the training dataset. A, C Magnitude and direction of the contribution of each feature to the model prediction of AR antagonists. B, D Mean absolute SHAP values, where positive and negatives SHAP values influences the predictions toward positive and negative samples, respectively

Back to article page