Camargo, Antonio Pedro 
; Nakahara, Thiago S; Firmino, Luiz E R; Netto, Paulo H M; Nascimento, João B. P do; Donnard, Elisa R; Galante, Pedro A. F; Carazzolle, Marcelo F; Malnic, Bettina ; Papes, Fábio
Fonte: DNA Research. Unidade: IQ
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ABNT
CAMARGO, Antonio Pedro et al. Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model. DNA Research, v. 26, n. 4, p. 365-378, 2019Tradução . . Disponível em: https://doi.org/10.1093/dnares/dsz015. Acesso em: 22 out. 2025.APA
Camargo, A. P., Nakahara, T. S., Firmino, L. E. R., Netto, P. H. M., Nascimento, J. B. P. do, Donnard, E. R., et al. (2019). Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model. DNA Research, 26( 4), 365-378. doi:10.1093/dnares/dsz015NLM
Camargo AP, Nakahara TS, Firmino LER, Netto PHM, Nascimento JBP do, Donnard ER, Galante PAF, Carazzolle MF, Malnic B, Papes F. Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model [Internet]. DNA Research. 2019 ;26( 4): 365-378.[citado 2025 out. 22 ] Available from: https://doi.org/10.1093/dnares/dsz015Vancouver
Camargo AP, Nakahara TS, Firmino LER, Netto PHM, Nascimento JBP do, Donnard ER, Galante PAF, Carazzolle MF, Malnic B, Papes F. Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model [Internet]. DNA Research. 2019 ;26( 4): 365-378.[citado 2025 out. 22 ] Available from: https://doi.org/10.1093/dnares/dsz015
