# Prioritizing Cancer Driver Genes Using Genomics Data

## Documentation for package ‘driveR’ version 0.3.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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
create_SCNA_score_df | Create SCNA 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
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
metapredictor_model | Random Forest Model for Coding Impact Metaprediction
MTL_submodel_descriptions | MTL Sub-model Descriptions
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
TCGA_MTL_fit | Multi-Task Learning Model for Predicting Cancer Driver Genes