Prediction of plant secondary metabolic pathways using deep transfer learning

BACKGROUND: Plant secondary metabolites are highly valued for their applications in pharmaceuticals, nutrition, flavors, and aesthetics. It is of great importance to elucidate plant secondary metabolic pathways due to their crucial roles in biological processes during plant growth and development. H...

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Detalles Bibliográficos
Autores principales: Bao, Han, Zhao, Jinhui, Zhao, Xinjie, Zhao, Chunxia, Lu, Xin, Xu, Guowang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507959/
https://www.ncbi.nlm.nih.gov/pubmed/37726702
http://dx.doi.org/10.1186/s12859-023-05485-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507959/
https://www.ncbi.nlm.nih.gov/pubmed/37726702
http://dx.doi.org/10.1186/s12859-023-05485-9

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