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1. Oncogenic signaling pathways in the Cancer Genome Atlas

2. An integrated map of genetic variation from 1,092 human genomes

3. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

4. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

5. A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples

6. Comprehensive Characterization of Cancer Driver Genes and Mutations

7. Genomic and functional approaches to understanding cancer aneuploidy

8. A Pan-Cancer Analysis Reveals High-Frequency Genetic Alterations in Mediators of Signaling by the TGF-β Superfamily

9. Pathogenic Germline Variants in 10,389 Adult Cancers

10. Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients

11. Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

12. Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics

13. An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

14. The Immune Landscape of Cancer

15. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

16. The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma

17. lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer

18. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

19. Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer

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