add_predictions | Use a batch of models to make predictions on new data |
append_predictions_to_seurat | Create a gene expression matrix to predict dependencies |
change_colname | Changes the value column name of a dataframe |
download_data | Download study files into data folder |
fit_depmap_models | Make a list of predictive models of dependencies |
fit_models_and_save | Make a list of models and save as file |
fit_models_in_parallel | Make a list of models and save as file (parallel) |
get_cell_line_name | Convert arxspan ID to cell line name |
get_demo_samples | Get demo samples |
get_double_digit_number | Vectorized double-digit converter |
Get_Double_Digit_Number | Vectorized double-digit converter |
get_legend | Extract ggplot legend |
get_original_data | Retrieve the training data |
get_variable_predictions | Find most variable predictions |
gg_color_hue | Get a palette of specified size |
helper_plot_top_contributors | Plot top contributions (internal function) |
make_bulk_matrix_from_files | Create a gene expression matrix to predict dependencies |
make_bulk_matrix_from_seurat | Create a gene expression matrix to predict dependencies |
make_new_data_predictions | Use a model to make predictions on new data |
make_xgb_model | Make predictive models of dependencies |
plot_contribution_to_new_samples | Plot feature contributions to new sample predictions |
plot_contribution_to_sample | Plot feature contributions to sample predictions |
plot_contribution_to_training_samples | Plot feature contributions to sample predictions from the... |
plot_predictions_dimplot | Overlay predictions on a dimensional reduction plot |
plot_shap_scatter | Plot Shapley values vs feature values |
plot_shap_scatter_for_new_samples | Plot SHAP vs Feature Value scatter for new data. |
plot_shap_scatter_for_training_samples | Plot SHAP vs Feature Value scatter for training data. |
plot_top_contributors | Plot top contributions |
prep_features_lineage | Prepare the lineage features table |
show_msg | Display message |
summarize_contributions | Summarize SHAP values |
summarize_error | Summarize prediction error |
summarize_models | Summarize models |
summarize_predictions | Summarize predictions |
summarize_predictions_in_parallel | Summarize predictions in parallel |
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