Pan-cancer alterations of the MYC oncogene and its proximal Network across the Cancer Genome Atlas (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.cels.2018.03.003
- Subjects: GENÔMICA; GENES REGULADORES; ONCOGENES
- Keywords: MAX; MNT; MYC genomic alterations; TCGA; The Cancer Genome Atlas
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Cell Systems
- ISSN: 2405-4712
- Volume/Número/Paginação/Ano: v. 6, n. 3, p. 282-300.e1-e2, 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SCHAUB, Franz X. et al. Pan-cancer alterations of the MYC oncogene and its proximal Network across the Cancer Genome Atlas. Cell Systems, v. 6, n. 3, p. 282-300.e1-e2, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cels.2018.03.003. Acesso em: 20 jan. 2026. -
APA
Schaub, F. X., Dhankani, V., Berger, A. C., Bernard, B., Grandori, C., Noushmehr, H., et al. (2018). Pan-cancer alterations of the MYC oncogene and its proximal Network across the Cancer Genome Atlas. Cell Systems, 6( 3), 282-300.e1-e2. doi:10.1016/j.cels.2018.03.003 -
NLM
Schaub FX, Dhankani V, Berger AC, Bernard B, Grandori C, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Pan-cancer alterations of the MYC oncogene and its proximal Network across the Cancer Genome Atlas [Internet]. Cell Systems. 2018 ; 6( 3): 282-300.e1-e2.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.cels.2018.03.003 -
Vancouver
Schaub FX, Dhankani V, Berger AC, Bernard B, Grandori C, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Pan-cancer alterations of the MYC oncogene and its proximal Network across the Cancer Genome Atlas [Internet]. Cell Systems. 2018 ; 6( 3): 282-300.e1-e2.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.cels.2018.03.003 - Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
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Informações sobre o DOI: 10.1016/j.cels.2018.03.003 (Fonte: oaDOI API)
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