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

2. Chimeric RNAs reveal putative neoantigen peptides for developing tumor vaccines for breast cancer

3. Interactive Clustered Heat Map Builder: An easy web-based tool for creating sophisticated clustered heat maps [version 2; peer review: 2 approved]

4. Personalized Integrated Network Modeling of the Cancer Proteome Atlas

5. Integrated Molecular Characterization of Testicular Germ Cell Tumors

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

7. Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas

8. Multilevel Genomics-Based Taxonomy of Renal Cell Carcinoma

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

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

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

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

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

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

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

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

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

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

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

20. Mutational Profiles Reveal an Aberrant TGF-β-CEA Regulated Pathway in Colon Adenomas.

21. A Comprehensive Comparison of Normalization Methods for Loading Control and Variance Stabilization of Reverse-Phase Protein Array Data

22. Interactive Clustered Heat Map Builder: An easy web-based tool for creating sophisticated clustered heat maps [version 1; peer review: 1 approved, 1 approved with reservations]

23. Consensus subtypes of hepatocellular carcinoma associated with clinical outcomes and genomic phenotypes

24. Table S6 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma

25. Data from Integrative Molecular Characterization of Malignant Pleural Mesothelioma

26. Supplementary Data from Integrative Molecular Characterization of Malignant Pleural Mesothelioma

28. RPPA SPACE: an R package for normalization and quantitation of Reverse-Phase Protein Array data

34. Abstract 4153: SETD2 loss and ATR inhibition synergistically promote cGAS signaling and immunotherapy response in renal cell carcinoma

36. Tumor-intrinsic SIRPA promotes sensitivity to checkpoint inhibition immunotherapy in melanoma

37. TCPA v3.0: An Integrative Platform to Explore the Pan-Cancer Analysis of Functional Proteomic Data

38. Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas

39. Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer

40. Whole-genome characterization of lung adenocarcinomas lacking alterations in the RTK/RAS/RAF pathway

41. OmicPioneer-sc: an integrated, interactive visualization environment for single-cell sequencing data

42. Large-scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines

43. Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome

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

45. Personalized Integrated Network Modeling of the Cancer Proteome Atlas

46. SAMMI: a semi-automated tool for the visualization of metabolic networks

47. Analytical Platforms 3: Processing Samples via the RPPA Pipeline to Generate Large-Scale Data for Clinical Studies

48. Generation of Raw RPPA Data and Their Conversion to Analysis-Ready Data

49. Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics

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