Machado Neto, João Agostinho 
; Nascimento, Mariane Cristina do ; Garnique, Anali Del Milagro Bernabe ; Lima, Keli Cristina de
Fonte: Translational Cancer Research. Unidades: ICB, FM
Assuntos: FARMACOLOGIA, LEUCEMIA MIELOIDE AGUDA, BIOMARCADORES, DOENÇAS SANGUÍNEAS E LINFÁTICAS
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ABNT
MACHADO NETO, João Agostinho et al. Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs. Translational Cancer Research. Shatin: AME Publishing Company. Disponível em: https://dx.doi.org/10.21037/tcr-23-993. Acesso em: 15 ago. 2024. , 2023APA
Machado Neto, J. A., Nascimento, M. C. do, Garnique, A. D. M. B., & Lima, K. C. de. (2023). Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs. Translational Cancer Research. Shatin: AME Publishing Company. doi:10.21037/tcr-23-993NLM
Machado Neto JA, Nascimento MC do, Garnique ADMB, Lima KC de. Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs [Internet]. Translational Cancer Research. 2023 ; 12( 9): 2235-2238.[citado 2024 ago. 15 ] Available from: https://dx.doi.org/10.21037/tcr-23-993Vancouver
Machado Neto JA, Nascimento MC do, Garnique ADMB, Lima KC de. Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs [Internet]. Translational Cancer Research. 2023 ; 12( 9): 2235-2238.[citado 2024 ago. 15 ] Available from: https://dx.doi.org/10.21037/tcr-23-993
