Machine learning identifies stemness features associated with oncogenic dedifferentiation (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.2018.03.034
- Subjects: GENÔMICA; NEOPLASIAS; CÉLULAS-TRONCO; APRENDIZADO COMPUTACIONAL; ALGORITMOS
- Keywords: The Cancer Genome Atlas; Cancer stem cells; Dedifferentiation; Epigenomic; Genomic; Machine learning; Pan-cancer; Stemness
- Agências de fomento:
- Finandiado pelo NIH
- Financiado pelo National Cancer Institute, Cairo University
- Finandiado pelo National Institute of General Medical Sciences
- Financiado pela Mary K. Chapman Foundation
- Financido pelo Cancer Prevention and Research Institute of Texas
- Financiado pela Michael and Susan Dell Foundation
- Financiado pelo FNP
- Financiado pelo Henry Ford Cancer Institute’s Early Career Investigator Award
- Financiado pela FAPESP
- Financiado pelo Henry Ford Hospital
- Financiado pelo Spanish Institute of Health Carlos III
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
MALTA, Tathiane M. et al. Machine learning identifies stemness features associated with oncogenic dedifferentiation. Cell, v. 173, n. 2, p. 338-354.e1-e5, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cell.2018.03.034. Acesso em: 30 dez. 2025. -
APA
Malta, T. M., Noushmehr, H., Carlotti Júnior, C. G., Santos, J. S. dos, Kemp, R., Sankarankutty, A. K., & Tirapelli, D. P. da C. (2018). Machine learning identifies stemness features associated with oncogenic dedifferentiation. Cell, 173( 2), 338-354.e1-e5. doi:10.1016/j.cell.2018.03.034 -
NLM
Malta TM, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Machine learning identifies stemness features associated with oncogenic dedifferentiation [Internet]. Cell. 2018 ; 173( 2): 338-354.e1-e5.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1016/j.cell.2018.03.034 -
Vancouver
Malta TM, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Machine learning identifies stemness features associated with oncogenic dedifferentiation [Internet]. Cell. 2018 ; 173( 2): 338-354.e1-e5.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1016/j.cell.2018.03.034 - Molecular characterization and clinical relevance of metabolic expression subtypes in human cancers
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Informações sobre o DOI: 10.1016/j.cell.2018.03.034 (Fonte: oaDOI API)
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