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Filtros : "Cancers" "FFCLRP" Removido: "Brunner, Carlos Henrique Maciel" Limpar

Filtros

Collaboration
Normalized affiliation
Non normalized affiliation
- department of pathology, cipe/a.c. camargo cancer center, são paulo, sp (1)
- department of statistics and epidemiology, a.c. camargo cancer center, são paulo, sp (1)
- laboratory of bioinformatics and computational biology, a.c. camargo cancer center, são paulo, sp (1)
- laboratory of computational biology bioinformatics, cipe/a.c. camargo cancer center, são paulo, sp (1)
- laboratory of genomics and molecular biology, cipe/a.c. camargo cancer center, são paulo, sp (1)

Artigo de periodico
Mutational signatures driven by epigenetic determinants enable the stratification of patients with gastric cancer for therapeutic intervention (2021)
Buttura, Jaqueline Ramalho; Santos, Monize Nakamoto Provisor; Valieris, Renan; Drummond, Rodrigo Duarte; Defelicibus, Alexandre; Lima, João Paulo; Calsavara, Vinicius Fernando; Freitas, Helano Carioca; Mitrowsky, Rafael Andres Rosales ; Dias-Neto, Emmanuel
Source: Cancers. Unidades: FFCLRP, BIOINFORMÁTICA
Subjects: MUTAÇÃO GENÉTICA, NEOPLASIAS GÁSTRICAS, PROGNÓSTICO, REPARAÇÃO DE DNA, FENÓTIPOS, GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUTTURA, Jaqueline Ramalho et al. Mutational signatures driven by epigenetic determinants enable the stratification of patients with gastric cancer for therapeutic intervention. Cancers, v. 13, n. 3, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3390/cancers13030490. Acesso em: 18 nov. 2024.
APA
Buttura, J. R., Santos, M. N. P., Valieris, R., Drummond, R. D., Defelicibus, A., Lima, J. P., et al. (2021). Mutational signatures driven by epigenetic determinants enable the stratification of patients with gastric cancer for therapeutic intervention. Cancers, 13( 3), 1-21. doi:10.3390/cancers13030490
NLM
Buttura JR, Santos MNP, Valieris R, Drummond RD, Defelicibus A, Lima JP, Calsavara VF, Freitas HC, Mitrowsky RAR, Dias-Neto E. Mutational signatures driven by epigenetic determinants enable the stratification of patients with gastric cancer for therapeutic intervention [Internet]. Cancers. 2021 ; 13( 3): 1-21.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3390/cancers13030490
Vancouver
Buttura JR, Santos MNP, Valieris R, Drummond RD, Defelicibus A, Lima JP, Calsavara VF, Freitas HC, Mitrowsky RAR, Dias-Neto E. Mutational signatures driven by epigenetic determinants enable the stratification of patients with gastric cancer for therapeutic intervention [Internet]. Cancers. 2021 ; 13( 3): 1-21.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3390/cancers13030490
Artigo de periodico
Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer (2020)
Valieris, Renan; Amaro, Lucas; Osório, Cynthia Aparecida Bueno de Toledo; Bueno, Adriana Passos; Mitrowsky, Rafael Andrés Rosales ; Carraro, Dirce Maria; Nunes, Diana Noronha; Dias-Neto, Emmanuel; Silva, Israel Tojal da
Source: Cancers. Unidade: FFCLRP
Subjects: BIOMARCADORES, NEOPLASIAS, DNA, APRENDIZADO COMPUTACIONAL, TERAPÊUTICA MÉDICA, ALGORITMOS, CARCINOGÊNESE, IMUNOTERAPIA, RECOMBINAÇÃO GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALIERIS, Renan et al. Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer. Cancers, v. 12, n. 12, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.3390/cancers12123687. Acesso em: 18 nov. 2024.
APA
Valieris, R., Amaro, L., Osório, C. A. B. de T., Bueno, A. P., Mitrowsky, R. A. R., Carraro, D. M., et al. (2020). Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer. Cancers, 12( 12), 1-12. doi:10.3390/cancers12123687
NLM
Valieris R, Amaro L, Osório CAB de T, Bueno AP, Mitrowsky RAR, Carraro DM, Nunes DN, Dias-Neto E, Silva IT da. Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer [Internet]. Cancers. 2020 ; 12( 12): 1-12.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3390/cancers12123687
Vancouver
Valieris R, Amaro L, Osório CAB de T, Bueno AP, Mitrowsky RAR, Carraro DM, Nunes DN, Dias-Neto E, Silva IT da. Deep learning predicts underlying features on pathology images with therapeutic relevance for breast and gastric cancer [Internet]. Cancers. 2020 ; 12( 12): 1-12.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3390/cancers12123687

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