Selecting the most relevant features for the identification of long non-coding RNAs in plants (2019)
Bonidia, Robson P 
; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, RNA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson P et al. Selecting the most relevant features for the identification of long non-coding RNAs in plants. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00100. Acesso em: 12 nov. 2024.APA
Bonidia, R. P., Carvalho, A. C. P. de L. F. de, Paschoal, A. R., & Sanches, D. S. (2019). Selecting the most relevant features for the identification of long non-coding RNAs in plants. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00100NLM
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100Vancouver
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
