Systematic approaches to predict oncogenic transcriptional regulatory circuitries identify important nodes in high-grade serous ovarian cancer (2019)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1158/1538-7445.AM2019-2615
- Subjects: NEOPLASIAS OVARIANAS; GENÉTICA MÉDICA; TUMOR CARCINOIDE
- Language: Inglês
- Imprenta:
- Source:
- Título: Cancer Research
- ISSN: 0008-5472
- Volume/Número/Paginação/Ano: v. 79, n. 13, suppl., p. 2615, 2019
- Conference titles: Annual Meeting American Association for Cancer Research - AACR
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ABRAHAM, Brian J. et al. Systematic approaches to predict oncogenic transcriptional regulatory circuitries identify important nodes in high-grade serous ovarian cancer. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1538-7445.AM2019-2615. Acesso em: 24 fev. 2026. , 2019 -
APA
Abraham, B. J., Reddy, J., Fonseca, M. A. de S., Klein, I. A., Afeyan, L. K., Corona, R. I., et al. (2019). Systematic approaches to predict oncogenic transcriptional regulatory circuitries identify important nodes in high-grade serous ovarian cancer. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1538-7445.AM2019-2615 -
NLM
Abraham BJ, Reddy J, Fonseca MA de S, Klein IA, Afeyan LK, Corona RI, Cejas P, Segato F, Karlan BY, Gayther SA, Freedman ML, Noushmehr H, Brown M, Matulonis UA, Lawrenson K, Yong RA. Systematic approaches to predict oncogenic transcriptional regulatory circuitries identify important nodes in high-grade serous ovarian cancer [Internet]. Cancer Research. 2019 ; 79( 13): 2615.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-2615 -
Vancouver
Abraham BJ, Reddy J, Fonseca MA de S, Klein IA, Afeyan LK, Corona RI, Cejas P, Segato F, Karlan BY, Gayther SA, Freedman ML, Noushmehr H, Brown M, Matulonis UA, Lawrenson K, Yong RA. Systematic approaches to predict oncogenic transcriptional regulatory circuitries identify important nodes in high-grade serous ovarian cancer [Internet]. Cancer Research. 2019 ; 79( 13): 2615.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-2615 - TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]
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Informações sobre o DOI: 10.1158/1538-7445.AM2019-2615 (Fonte: oaDOI API)
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