Package index • SENDQSAR

All functions

get_auc_curve_with_rf_model(): Compute and Plot AUC Curve with Random Forest Model

get_bw_score(): Calculate Body Weight Z-score for a given STUDYID from SQLite Database or .xpt Files

get_col_harmonized_scores_df(): get_col_harmonized_scores_df

get_compile_data(): Retrieve and Compile Study Data from SQLite Database or .xpt Files

get_Data_formatted_for_ml_and_best.m(): Retrieve and Preprocess Data for Machine Learning Models

get_histogram_barplot(): Generate Histogram or Bar Plot for Liver-Related Scores

get_imp_features_from_rf_model_with_cv(): Get Important Features from Random Forest Model with Cross-Validation

get_lb_score(): Get Laboratory Test Results (LB) domain Z-score for a given STUDYID from SQLite Database or .xpt Files

get_livertobw_score(): Calculate Liver-to-Body-Weight ratio Z-Scores for each animal in a given STUDYID from SQLite Database or .xpt Files

get_liver_om_lb_mi_tox_score_list(): get_liver_om_lb_mi_tox_score_list

get_mi_score(): Get Microscopic Findings (MI) domain Z-score for a given STUDYID from SQLite Database or .xpt Files

get_ml_data_and_tuned_hyperparameters(): Get Random Forest Data and Tuned Hyperparameters

get_prediction_plot(): Generate Prediction Plot for Random Forest Model

get_repeat_dose_parallel_studyids(): Get Repeat Dose Parallel Study IDs

get_reprtree_from_rf_model(): Get Representation Tree from Random Forest Model

get_rf_input_param_list_output_cv_imp(): Prepare and Evaluate Random Forest Model with Cross-Validation and Feature Importance

get_rf_model_output_cv_imp(): Perform Cross-Validation with Random Forest and Feature Importance Calculation

get_rf_model_with_cv(): Random Forest with Cross-Validation

get_zone_exclusioned_rf_model_with_cv(): Random Forest Model with Cross-validation and Exclusion