The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
Open accessAbstract
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization and exploration of TCGA genomic, phenotypic, and clinical data, as produced by the Cancer Genome Atlas Research Network. Researchers can explore the impact of genomic alterations on phenotypes by visualizing gene and protein expression, copy number, DNA methylation, somatic mutation and pathway inference data alongside clinical features, Pan-Cancer subtype classifications and genomic biomarkers. Integrated Kaplan-Meier survival analysis helps investigators to assess survival stratification by any of the information.
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Cites
The cancer genome atlas pan-cancer analysis project
The Cancer Genome Atlas Research Network, Weinstein, J. N., Collisson, E. A., Mills, G. B., Shaw, K. R. M., Ozenberger, B. A., Ellrott, K., Shmulevich, I., Sander, C., & Stuart, J. M. (2013) · Nature Genetics · doi:10.1038/ng.2764 · Cited by 9,092
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia
The Cancer Genome Atlas Research Network (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1301689 · Cited by 5,078
Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma (2008) · Nature Medicine · doi:10.1038/nm.1790 · Cited by 1,190
Shen, R., Olshen, A. B., & Ladanyi, M. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp543 · Cited by 849
Vaske, C. J., Benz, S. C., Sanborn, J. Z., Earl, D., Szeto, C., Zhu, J., Haussler, D., & Stuart, J. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq182 · Cited by 786
Self-citationShen, R., Olshen, A. B., & Ladanyi, M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp659 · Cited by 566
Subtype and pathway specific responses to anticancer compounds in breast cancer
Heiser, L. M., Sadanandam, A., Kuo, W.-L., Benz, S. C., Goldstein, T. C., Ng, S., Gibb, W. J., Wang, N. J., Ziyad, S., Tong, F., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018854108 · Cited by 475
Self-citationThe UCSC Cancer Genomics Browser
Zhu, J., Sanborn, J. Z., Benz, S., Szeto, C., Hsu, F., Kuhn, R. M., Karolchik, D., Archie, J., Lenburg, M. E., Esserman, L. J., et al. (2009) · Nature Methods · doi:10.1038/nmeth0409-239 · Cited by 169
Self-citationThe UCSC Cancer Genomics Browser: update 2013
Goldman, M., Craft, B., Swatloski, T., Ellrott, K., Cline, M., Diekhans, M., Ma, S., Wilks, C., Stuart, J., Haussler, D., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks1008 · Cited by 163
Self-citation
Cited by
Li, H., Courtois, E. T., Sengupta, D., Tan, Y., Chen, K. H., Goh, J. J. L., Kong, S. L., Chua, C., Hon, L. K., Tan, W. S., et al. (2017) · Nature Genetics · doi:10.1038/ng.3818 · Cited by 1,080
Mounir, M., Lucchetta, M., Silva, T. C., Olsen, C., Bontempi, G., Chen, X., Noushmehr, H., Colaprico, A., & Papaleo, E. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006701 · Cited by 530
Critical limitations of consensus clustering in class discovery
Șenbabaoğlu, Y., Michailidis, G., & Li, J. Z. (2014) · Scientific Reports · doi:10.1038/srep06207 · Cited by 379
Data Integration Challenges for Machine Learning in Precision Medicine
Martínez-García, M., & Hernández-Lemus, E. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2021.784455 · Cited by 185
Small-RNA asymmetry is directly driven by mammalian Argonautes
Suzuki, H. I., Katsura, A., Yasuda, T., Ueno, T., Mano, H., Sugimoto, K., & Miyazono, K. (2015) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3050 · Cited by 108
Metadata
- Authors
- Cline, M. S., Craft, B., Swatloski, T., Goldman, M., Ma, S., Haussler, D., & Zhu, J.
- Venue
- Scientific Reports
- Published
- 2013-10-02
- Volume
- 3
- Issue
- 1
- Pages
- 2652-2652
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1969361257
- Cited by
- 271
- References
- 14
- FWCI
- 8.90
- Type
- journal article
- Language
- en
- Open access
- gold
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- Cline, M. S., Craft, B., Swatloski, T., Goldman, M., Ma, S., Haussler, D., & Zhu, J. (2013). Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser. Scientific Reports. https://doi.org/10.1038/srep02652
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
