1. Introduction  
2. Cancer driver discovery methods  
2.1 Single cancer driver identification  
2.1.1 Mutation-based methods  
2.1.2 Network-based methods  
2.2 Cancer driver module identification  
2.3 Personalised cancer driver identification  
3. Resources for cancer driver research  
4. Comparative study  
4.1 Performance of methods in identifying cancer drivers  
4.2 Identified cancer drivers enriched significantly in GO biological processes and KEGG pathways  
4.3 Identified cancer drivers are useful in predicting survival  
5. Gaps and future directions  
6. Recommendation and conclusion