Liu, Bin; Sträuber, Heike 
; Saraiva, João Pedro ; Harms, Hauke ; Silva, Sandra Godinho ; Kasmanas, Jonas Coelho ; Kleinsteuber, Sabine ; Rocha, Ulisses Nunes da
Fonte: Microbiome. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, REATORES BIOQUÍMICOS, BIOINDICADORES
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ABNT
LIU, Bin et al. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture. Microbiome, v. 10, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1186/s40168-021-01219-2. Acesso em: 06 jun. 2024.APA
Liu, B., Sträuber, H., Saraiva, J. P., Harms, H., Silva, S. G., Kasmanas, J. C., et al. (2022). Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture. Microbiome, 10, 1-21. doi:10.1186/s40168-021-01219-2NLM
Liu B, Sträuber H, Saraiva JP, Harms H, Silva SG, Kasmanas JC, Kleinsteuber S, Rocha UN da. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture [Internet]. Microbiome. 2022 ; 10 1-21.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1186/s40168-021-01219-2Vancouver
Liu B, Sträuber H, Saraiva JP, Harms H, Silva SG, Kasmanas JC, Kleinsteuber S, Rocha UN da. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture [Internet]. Microbiome. 2022 ; 10 1-21.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1186/s40168-021-01219-2
