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1. Pan-cancer proteogenomics characterization of tumor immunity

2. Deep learning integrates histopathology and proteogenomics at a pan-cancer level

3. Whole-genome characterization of lung adenocarcinomas lacking the RTK/RAS/RAF pathway

4. Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation

5. Pan-cancer proteogenomics connects oncogenic drivers to functional states

6. The Immune Landscape of Cancer

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

8. Comprehensive Characterization of Cancer Driver Genes and Mutations

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

10. Integrated Molecular Characterization of Testicular Germ Cell Tumors

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

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

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

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

15. Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

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

17. Genomic and Functional Approaches to Understanding Cancer Aneuploidy

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

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

20. The Immune Landscape of Cancer

21. Oncogenic Signaling Pathways in The Cancer Genome Atlas

22. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

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

24. A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers

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

26. Pathogenic Germline Variants in 10,389 Adult Cancers

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

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

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

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

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

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

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

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

35. The Integrated Genomic Landscape of Thymic Epithelial Tumors

36. Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas

37. Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma

38. Integrated Molecular Characterization of Uterine Carcinosarcoma

39. Integrative Genomic Analysis of Cholangiocarcinoma Identifies Distinct IDH-Mutant Molecular Profiles

40. Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma

41. Pan-cancer proteogenomics characterization of tumor immunity

42. Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma

43. Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer

44. Deep learning integrates histopathology and proteogenomics at a pan-cancer level

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

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

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

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

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

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

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