TRSRD: a database for research on risky substances in tea using natural language processing and knowledge graph-based techniques

During the production and processing of tea, harmful substances are often introduced. However, they have never been systematically integrated, and it is impossible to understand the harmful substances that may be introduced during tea production and their related relationships when searching for pap...

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Detalles Bibliográficos
Autores principales: Wang, Yongmei, Wang, Peng, Zhang, Yongheng, Yao, Siyi, Xu, Zhipeng, Zhang, Youhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167980/
https://www.ncbi.nlm.nih.gov/pubmed/37159240
http://dx.doi.org/10.1093/database/baad031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167980/
https://www.ncbi.nlm.nih.gov/pubmed/37159240
http://dx.doi.org/10.1093/database/baad031

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