Chen, Weihao; Alexandre, Pâmela Almeida 
; Ribeiro, Gabriela; Fukumasu, Heidge ; Sun, Wei; Reverter, Antonio; Li, Yutao
Fonte: Frontiers in Genetics. Unidade: FZEA
Assuntos: CONSUMO ALIMENTAR PARA ANIMAL, GENES, BOVINOS DE CORTE, RNA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHEN, Weihao et al. Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data. Frontiers in Genetics, v. 12, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.3389/fgene.2021.619857. Acesso em: 08 out. 2024.APA
Chen, W., Alexandre, P. A., Ribeiro, G., Fukumasu, H., Sun, W., Reverter, A., & Li, Y. (2021). Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data. Frontiers in Genetics, 12, 1-12. doi:10.3389/fgene.2021.619857NLM
Chen W, Alexandre PA, Ribeiro G, Fukumasu H, Sun W, Reverter A, Li Y. Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data [Internet]. Frontiers in Genetics. 2021 ; 12 1-12.[citado 2024 out. 08 ] Available from: https://doi.org/10.3389/fgene.2021.619857Vancouver
Chen W, Alexandre PA, Ribeiro G, Fukumasu H, Sun W, Reverter A, Li Y. Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data [Internet]. Frontiers in Genetics. 2021 ; 12 1-12.[citado 2024 out. 08 ] Available from: https://doi.org/10.3389/fgene.2021.619857
