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1. Oncogenic signaling pathways in the Cancer Genome Atlas

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

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

4. Comprehensive Characterization of Cancer Driver Genes and Mutations

5. Genomic and functional approaches to understanding cancer aneuploidy

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

7. Pathogenic Germline Variants in 10,389 Adult Cancers

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

9. Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

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

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

12. The Immune Landscape of Cancer

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

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

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

16. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

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

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