Source: IEEE Access. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, RNA
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BONIDIA, Robson Parmezan et al. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs. IEEE Access, v. 8, p. 181683-181697, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3028039. Acesso em: 22 ago. 2024.APA
Bonidia, R. P., Machida, J. S., Negri, T. C., Alves, W. A. L., Kashiwabara, A. Y., Domingues, D. S., et al. (2020). A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs. IEEE Access, 8, 181683-181697. doi:10.1109/ACCESS.2020.3028039NLM
Bonidia RP, Machida JS, Negri TC, Alves WAL, Kashiwabara AY, Domingues DS, Carvalho ACP de LF de, Paschoal AR, Sanches DS. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs [Internet]. IEEE Access. 2020 ; 8 181683-181697.[citado 2024 ago. 22 ] Available from: https://doi.org/10.1109/ACCESS.2020.3028039Vancouver
Bonidia RP, Machida JS, Negri TC, Alves WAL, Kashiwabara AY, Domingues DS, Carvalho ACP de LF de, Paschoal AR, Sanches DS. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs [Internet]. IEEE Access. 2020 ; 8 181683-181697.[citado 2024 ago. 22 ] Available from: https://doi.org/10.1109/ACCESS.2020.3028039