Gene expression signature associated with aggressive glioblastoma growth is enriched in chromatin modification and stemness transcriptional regulation programs (2019)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1093/neuonc/noz175.457
- Subjects: NEOPLASIAS CEREBRAIS; EXPRESSÃO GÊNICA; REGULAÇÃO GÊNICA; LINHAGEM CELULAR
- Language: Inglês
- Imprenta:
- Publisher: Society for Neuro-Oncology
- Publisher place: Oxford
- Date published: 2019
- Source:
- Título: Neuro-oncology
- ISSN: 1522-8517
- Volume/Número/Paginação/Ano: v. 21, suppl. 6, res. GENE-55, p. vi109, 2019
- Conference titles: Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BEREZOVSKY, Artem et al. Gene expression signature associated with aggressive glioblastoma growth is enriched in chromatin modification and stemness transcriptional regulation programs. Neuro-oncology. Oxford: Society for Neuro-Oncology. Disponível em: https://doi.org/10.1093/neuonc/noz175.457. Acesso em: 12 fev. 2026. , 2019 -
APA
Berezovsky, A., Nuga, O., Meng, Y., Poisson, L., Noushmehr, H., & Carvalho, A. de. (2019). Gene expression signature associated with aggressive glioblastoma growth is enriched in chromatin modification and stemness transcriptional regulation programs. Neuro-oncology. Oxford: Society for Neuro-Oncology. doi:10.1093/neuonc/noz175.457 -
NLM
Berezovsky A, Nuga O, Meng Y, Poisson L, Noushmehr H, Carvalho A de. Gene expression signature associated with aggressive glioblastoma growth is enriched in chromatin modification and stemness transcriptional regulation programs [Internet]. Neuro-oncology. 2019 ; 21 vi109.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1093/neuonc/noz175.457 -
Vancouver
Berezovsky A, Nuga O, Meng Y, Poisson L, Noushmehr H, Carvalho A de. Gene expression signature associated with aggressive glioblastoma growth is enriched in chromatin modification and stemness transcriptional regulation programs [Internet]. Neuro-oncology. 2019 ; 21 vi109.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1093/neuonc/noz175.457 - 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: 10.1093/neuonc/noz175.457 (Fonte: oaDOI API)
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