Fig. 1.

Framework of MAGPIE. The model was trained to predict pathogenic scores of multi-type variants and included three steps. First, candidate variants were annotated with high-dimensional features covering six different modalities. Second, automatic feature engineering and separated feature selection were undertaken step by step. Finally, a gradient boosting method with controllable tuning was implemented to train the model and obtain predictions for the pathogenicity of variants