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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. Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression.

13. BioTapestry now provides a web application and improved drawing and layout tools [version 1; referees: 3 approved]

14. Reconstruction and validation of RefRec: a global model for the yeast molecular interaction network.

16. The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research

17. Genomic and molecular characterization of preterm birth

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

19. Comprehensive Characterization of Cancer Driver Genes and Mutations

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

21. Genomic and functional approaches to understanding cancer aneuploidy

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

23. Pathogenic Germline Variants in 10,389 Adult Cancers

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

25. Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

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

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

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

29. The Immune Landscape of Cancer

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

31. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

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

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

34. Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression

35. The Somatic Genomic Landscape of Glioblastoma

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

37. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

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

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

40. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin

41. The Cancer Genome Atlas Pan-Cancer analysis project

42. ESTOOLS Data@Hand: human stem cell gene expression resource

43. BioTapestry now provides a web application and improved drawing and layout tools

44. Discrete stochastic simulation of cell signaling: comparison of computational tools

45. Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network

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