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

2. Driver Fusions and Their Implications in the Development and Treatment of Human Cancers

3. Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

4. Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers

5. Systematic Analysis of Splice-Site-Creating Mutations in Cancer

6. Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas

7. Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types

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

9. Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

10. Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types

11. Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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

13. Comprehensive Characterization of Cancer Driver Genes and Mutations

14. Pan-cancer analysis of lncRNA regulation supports their targeting of cancer genes ineach tumor context

15. Genomic and functional approaches to understanding cancer aneuploidy

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

17. Pathogenic Germline Variants in 10,389 Adult Cancers

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

19. Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

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

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

22. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines

23. The Immune Landscape of Cancer

24. Driver Fusions and Their Implications in the Development and Treatment of Human Cancers

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

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

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

28. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

29. Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

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

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