Chen, Weihao; Alexandre, Pâmela Almeida 
; Ribeiro, Gabriela; Fukumasu, Heidge ; Sun, Wei; Reverter, Antonio; Li, Yutao
Source: Frontiers in Genetics. Unidade: FZEA
Subjects: CONSUMO ALIMENTAR PARA ANIMAL, GENES, BOVINOS DE CORTE, RNA, SEQUENCIAMENTO GENÉTICO
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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: 03 jan. 2026.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 2026 jan. 03 ] 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 2026 jan. 03 ] Available from: https://doi.org/10.3389/fgene.2021.619857
