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Reproducible scripts to: - **Classifier models**. Scripts to generate K-nearest neighbors (KNN), Logistic Regression, Neural Network (NN), Random Forest (RF), Support Vector Machine (SVM), and eXtreme Gradient Boosting (XGB) models for setting A, B, and C. Scripts to evaluate the models' performance by AUC, Accuracy, Kappa, F1-Score, Precision, and Recall metrics for setting A, B, and C. - **Interpretability**. Scripts to generate XGB and LR models from intersection genes between A, B, and C. And SHAP explanation for the XGB model.
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