The cancer genome atlas pan-cancer analysis project

The Cancer Genome Atlas Research Network, Weinstein, John N, Collisson, Eric A, Mills, Gordon B, Shaw, Kenna R Mills, Ozenberger, Brad A, Ellrott, Kyle, Shmulevich, Ilya +2 more·2013·Nature Genetics
DOI 10.1038/ng.2764

Cited by (162)

Items 101–162 of 162

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  12. Characterization of frequently mutated cancer genes in Chinese breast tumors: a comparison of Chinese and TCGA cohorts
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  14. Genome-wide genetic and epigenetic analyses of pancreatic acinar cell carcinomas reveal aberrations in genome stability
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  15. Acetylation targeting chimera enables acetylation of the tumor suppressor p53
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  16. PINA 3.0: mining cancer interactome
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  17. Transcription of the NKG2D ligand MICA is suppressed by the IRE1/XBP1 pathway of the unfolded protein response through the regulation of E2F1
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  19. A weighted exact test for mutually exclusive mutations in cancer
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  20. Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer
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  28. Integrating healthcare and research genetic data empowers the discovery of 28 novel developmental disorders
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  30. Sensitivity to PRIMA-1MET is associated with decreased MGMT in human glioblastoma cells and glioblastoma stem cells irrespective of p53 status
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  33. Evolving toward a human-cell based and multiscale approach to drug discovery for CNS disorders
    Schadt, Eric E., Buchanan, Sean, Brennand, Kristen J., Merchant, Kalpana M. · 2014 · Frontiers in Pharmacology
  34. Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
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  35. <scp>AI</scp> in microbiome‐related healthcare
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  38. Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug repurposing
    Wu, You, Liu, Qiao, Qiu, Yue, Xie, Lei · 2022 · PLOS Computational Biology
  39. Signatures of evolutionary adaptation in quantitative trait loci influencing trace element homeostasis in liver
    Engelken, Johannes, Espadas, Guadalupe, Mancuso, Francesco M., Bonet, Nuria, Scherr, Anna-Lena, Jímenez-Álvarez, Victoria, Codina-Solà, Marta, Medina-Stacey, Daniel, Spataro, Nino, Stoneking, Mark et al. · 2016 · Molecular Biology and Evolution
  40. Computed cancer interactome explains the effects of somatic mutations in cancers
    Zhang, Jing, Pei, Jimin, Durham, Jesse, Bos, Tasia, Cong, Qian · 2022 · Protein Science
  41. Computational estimation of quality and clinical relevance of cancer cell lines
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  42. Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation
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  44. CRISPR Screening Identifies Mechanisms of Resistance to KRASG12C and SHP2 Inhibitor Combinations in Non-Small Cell Lung Cancer
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  45. Single-Cell RNA Sequencing for Studying Human Cancers
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  47. Emerging proteomics biomarkers and prostate cancer burden in Africa
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  48. Deep computational analysis details dysregulation of eukaryotic translation initiation complex eIF4F in human cancers
    Wu, Su, Wagner, Gerhard · 2021 · Cell Systems
  49. Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
    Lock, Eric F., Park, Jun Young, Hoadley, Katherine A. · 2022 · The Annals of Applied Statistics
  50. Cancer-Associated Fibroblast Proteins as Potential Targets against Colorectal Cancers
    Shah, Ruchi, Johnson, Katherine A., Lippert, Anna E. L., Kraus, Sean G., Emmerich, Philip B., Pasch, Cheri A., Zhang, Wei, Matkowskyj, Kristina A., LeBeau, Aaron M., Deming, Dustin A. · 2024 · Cancers
  51. Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data
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  53. Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data
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  55. WEE1 confers resistance to KRASG12C inhibitors in non-small cell lung cancer
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  57. Model‐Based Design of a Decision Tree for Treating HER2+ Cancers Based on Genetic and Protein Biomarkers
    Kirouac, DC, Lahdenranta, J, Du, J, Yarar, D, Onsum, MD, Nielsen, UB, McDonagh, CF · 2015 · CPT: Pharmacometrics &amp; Systems Pharmacology
  58. SetQuence &amp; SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics
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  59. CDK19 is a Regulator of Triple-Negative Breast Cancer Growth
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