Tian, Xue‐Chan 
; Nie, Shuai ; Domingues, Douglas ; Paschoal, Alexandre Rossi ; Jiang, Li‐Bo ; Mao, Jian‐Feng
Fonte: New Phytologist. Unidade: ESALQ
Assuntos: ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, MELHORAMENTO GENÉTICO VEGETAL, PLANTAS CULTIVADAS, REGULAÇÃO GÊNICA, RNA, SELEÇÃO GENÉTICA, TRANSFORMADA DE FOURIER
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TIAN, Xue‐Chan et al. PlantLncBoost: key features for plant ncRNA identification and significant improvement in accuracy and generalization. New Phytologist, v. 247, p. 1538–1549, 2025Tradução . . Disponível em: https://doi.org/10.1111/nph.70211. Acesso em: 16 nov. 2025.APA
Tian, X. ‐C., Nie, S., Domingues, D., Paschoal, A. R., Jiang, L. ‐B., & Mao, J. ‐F. (2025). PlantLncBoost: key features for plant ncRNA identification and significant improvement in accuracy and generalization. New Phytologist, 247, 1538–1549. doi:10.1111/nph.70211NLM
Tian X‐C, Nie S, Domingues D, Paschoal AR, Jiang L‐B, Mao J‐F. PlantLncBoost: key features for plant ncRNA identification and significant improvement in accuracy and generalization [Internet]. New Phytologist. 2025 ; 247 1538–1549.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1111/nph.70211Vancouver
Tian X‐C, Nie S, Domingues D, Paschoal AR, Jiang L‐B, Mao J‐F. PlantLncBoost: key features for plant ncRNA identification and significant improvement in accuracy and generalization [Internet]. New Phytologist. 2025 ; 247 1538–1549.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1111/nph.70211
