Source: FEMS Microbes (online). Unidades: IO, ICB
Assunto: BIOGEOQUÍMICA
ABNT
MOREIRA, Julio Cezar Fornazier et al. A machine learning approach elucidates spatial patterns of environmental properties driving microbial composition over Santos Basin, South Atlantic. FEMS Microbes (online), v. 7, n. 6, 2026Tradução . . Disponível em: https://doi.org/10.1093/femsmc/xtag008. Acesso em: 23 abr. 2026.APA
Moreira, J. C. F., Silva, F. M. da, Bergo, N. M., Vieira, D. C., Fonseca, G., Peres, F. V., et al. (2026). A machine learning approach elucidates spatial patterns of environmental properties driving microbial composition over Santos Basin, South Atlantic. FEMS Microbes (online), 7( 6). doi:10.1093/femsmc/xtag008NLM
Moreira JCF, Silva FM da, Bergo NM, Vieira DC, Fonseca G, Peres FV, Lizarraga RGM, Duque-Castaño DC, Emilio A de M, Amendola AM, Romano RG, Chuqui MG, Paula F da S, Moreira DL, Jonck CR, Bendia AG, Brandini FP, Pellizari VH. A machine learning approach elucidates spatial patterns of environmental properties driving microbial composition over Santos Basin, South Atlantic [Internet]. FEMS Microbes (online). 2026 ; 7( 6):[citado 2026 abr. 23 ] Available from: https://doi.org/10.1093/femsmc/xtag008Vancouver
Moreira JCF, Silva FM da, Bergo NM, Vieira DC, Fonseca G, Peres FV, Lizarraga RGM, Duque-Castaño DC, Emilio A de M, Amendola AM, Romano RG, Chuqui MG, Paula F da S, Moreira DL, Jonck CR, Bendia AG, Brandini FP, Pellizari VH. A machine learning approach elucidates spatial patterns of environmental properties driving microbial composition over Santos Basin, South Atlantic [Internet]. FEMS Microbes (online). 2026 ; 7( 6):[citado 2026 abr. 23 ] Available from: https://doi.org/10.1093/femsmc/xtag008
