An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics (2018)
- Authors:
- USP affiliated authors: NOUSHMEHR, HOUTAN - FMRP ; CARLOTTI JUNIOR, CARLOS GILBERTO - FMRP ; SANTOS, JOSÉ SEBASTIÃO DOS - FMRP ; KEMP, RAFAEL - FMRP ; SANKARANKUTTY, AJITH KUMAR - FMRP ; TIRAPELLI, DANIELA PRETTI DA CUNHA - FMRP
- Unidade: FMRP
- DOI: 10.1016/j.cell.2018.02.052
- Subjects: NEOPLASIAS; GENÔMICA; TAXA DE SOBREVIVÊNCIA
- Keywords: Cox proportional hazards regression model; TCGA; The Cancer Genome Atlas; Clinical data resource; Cisease-free interval; Disease-specific survival; Follow-up time; Overall survival; Progression-free interval; Translational research
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LIU, Jianfang et al. An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics. Cell, v. 173, n. 2, p. 400-416.e1-e6, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cell.2018.02.052. Acesso em: 25 fev. 2026. -
APA
Liu, J., Noushmehr, H., Carlotti Júnior, C. G., Santos, J. S. dos, Kemp, R., Sankarankutty, A. K., & Tirapelli, D. P. da C. (2018). An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics. Cell, 173( 2), 400-416.e1-e6. doi:10.1016/j.cell.2018.02.052 -
NLM
Liu J, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics [Internet]. Cell. 2018 ; 173( 2): 400-416.e1-e6.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1016/j.cell.2018.02.052 -
Vancouver
Liu J, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics [Internet]. Cell. 2018 ; 173( 2): 400-416.e1-e6.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1016/j.cell.2018.02.052 - Integrated genomic characterization of oesophageal carcinoma
- Comprehensive analysis of alternative splicing across tumors from 8,705 patients
- Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines
- Molecular characterization and clinical relevance of metabolic expression subtypes in human cancers
- Pan-cancer analysis of lncRNA regulation supports their targeting of cancer genes in each tumor context
- Comprehensive molecular characterization of the hippo signaling pathway in cancer
- Pan-cancer alterations of the MYC oncogene and its proximal Network across the Cancer Genome Atlas
- Perspective on oncogenic processes at the end of the beginning of cancer genomics
- Oncogenic signaling pathways in the cancer genome atlas
- Systematic analysis of splice-site-creating mutations in cancer
Informações sobre o DOI: 10.1016/j.cell.2018.02.052 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
002937538.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
