Machine learning identifies stemness features associated with oncogenic dedifferentiation (2018)
Subjects: GENÔMICA, NEOPLASIAS, CÉLULAS-TRONCO, APRENDIZADO COMPUTACIONAL, ALGORITMOS
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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: 14 nov. 2024.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.2018.03.034NLM
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 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.cell.2018.03.034Vancouver
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 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.cell.2018.03.034
