AnnotatedGeneLists-class
                        AnnotatedGeneLists class
GO_enrichment_analysis
                        Perform gene set enrichment analysis using
                        clusterProfiler
GeneList-class          GeneList class
GeneSelectR             Gene Selection and Evaluation with GeneSelectR
PipelineResults-class   PipelineResults class
aggregate_feature_importances
                        Aggregate Feature Importances
annotate_gene_lists     Convert and Annotate Gene Lists
calculate_mean_cv_scores
                        Calculate Mean Cross-Validation Scores for
                        Various Feature Selection Methods
calculate_overlap_coefficients
                        Calculate Overlap and Similarity Coefficients
                        between Feature Lists
calculate_permutation_feature_importance
                        Calculate Permutation Feature Importance
check_python_modules_available
                        Check Python Module Availability for Examples
compute_GO_child_term_metrics
                        Retrieve and Plot the Offspring Nodes of GO
                        Terms
configure_environment   Configure Python Environment for GeneSelectR
create_conda_env        Create a specific Conda environment
create_pipelines        Create Pipelines
create_test_metrics_df
                        Create a Dataframe of Test Metrics
define_sklearn_modules
                        Define Python modules and scikit-learn
                        submodules
enable_multiprocess     Enable Multiprocessing in Python Environment
evaluate_test_metrics   Evaluate Test Metrics for a Grid Search Model
get_feature_importances
                        Get Feature Importances
import_python_packages
                        Import Python Libraries
install_python_packages
                        Install necessary Python packages in a specific
                        Conda environment
perform_grid_search     Perform Grid Search or Random Search for
                        Hyperparameter Tuning
pipeline_to_list        Convert Scikit-learn Pipeline to Named List
plot_feature_importance
                        Plot Feature Importance
plot_metrics            Plot Performance Metrics
plot_overlap_heatmaps   Generate Heatmaps to Visualize Overlap and
                        Similarity Coefficients between Feature Lists
plot_upset              Plot Feature Overlaps Using UpSet Plots
run_simplify_enrichment
                        Run simplifyGOFromMultipleLists with specified
                        measure and method
set_default_fs_methods
                        Set Default Feature Selection Methods
set_default_param_grids
                        Set Default Parameter Grids for Feature
                        Selection
set_reticulate_python   Set RETICULATE_PYTHON for the Current Session
skip_if_no_modules      Check if Python Modules are Available
split_data              Split Data into Training and Test Sets
steps_to_tuples         Convert Steps to Tuples
