DeepAmes

DeepAmes provides deep learning-powered Ames test predictive models for predicting the results of Ames tests.

Script

• base_knn.py (develop KNN base classifiers)
• base_lr.py (develop LR base classifiers)
• base_svm.py (develop SVM base classifiers)
• base_rf.py (develop RF base classifiers)
• base_xgboost.py (develop XGBoost base classifiers)
• select_base.py (select the base classifiers based on the base classifiers' MCC rankings)
• validation_predictions_combine.py (combine predicted probabilities for development set)
• test_predictions_combine.py (combine predicted probabilities for test set)
• deepames_plus.py (make DeepAmes predictions)
• main.py (the main script need to modity to run your own data using the DeepAmes framework)

Model development environment

• Python: 3.7.3
• Numpy: 1.16.4
• Pandas: 0.24.2
• Scikit-learn: 0.21.2
• Keras: 2.2.4