KEGG_cancer_pathways    KEGG "Pathways in cancer"-related Pathways -
                        Gene Sets
KEGG_cancer_pathways_descriptions
                        KEGG "Pathways in cancer"-related Pathways -
                        Descriptions
MCR_table               Table of Pan-Cancer Minimal Common Regions
MTL_submodel_descriptions
                        MTL Sub-model Descriptions
TCGA_MTL_fit            Multi-Task Learning Model for Predicting Cancer
                        Driver Genes
create_SCNA_score_df    Create SCNA Score Data Frame
create_features_df      Create Data Frame of Features for Driver Gene
                        Prioritization
create_gene_level_scna_df
                        Create Gene-level SCNA Data Frame
create_noncoding_impact_score_df
                        Create Non-coding Impact Score Data Frame
determine_double_hit_genes
                        Determine Double-Hit Genes
determine_hotspot_genes
                        Determine Hotspot Containing Genes
driveR                  driveR: An R Package for Prioritizing Cancer
                        Driver Genes Using Genomics Data
example_cohort_features_table
                        Example Cohort-level Features Table for Driver
                        Prioritization
example_cohort_scna_table
                        Example Cohort-level Somatic Copy Number
                        Alteration Table
example_features_table
                        Example Features Table for Driver
                        Prioritization
example_scna_table      Example Somatic Copy Number Alteration Table
metapredictor_model     Random Forest Model for Coding Impact
                        Metaprediction
predict_coding_impact   Create Coding Impact Meta-prediction Score Data
                        Frame
prioritize_driver_genes
                        Prioritize Cancer Driver Genes
specific_thresholds     Tumor type specific probability thresholds
