Plasma-metabolite-based machine learning is a promising diagnostic approach for esophageal squamous cell carcinoma investigation

The aim of this study was to develop a diagnostic strategy for esophageal squamous cell carcinoma (ESCC) that combines plasma metabolomics with machine learning algorithms. Plasma-based untargeted metabolomics analysis was performed with samples derived from 88 ESCC patients and 52 healthy controls....

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Detalles Bibliográficos
Autores principales: Chen, Zhongjian, Huang, Xiancong, Gao, Yun, Zeng, Su, Mao, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Xi'an Jiaotong University 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424362/
https://www.ncbi.nlm.nih.gov/pubmed/34513127
http://dx.doi.org/10.1016/j.jpha.2020.11.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424362/
https://www.ncbi.nlm.nih.gov/pubmed/34513127
http://dx.doi.org/10.1016/j.jpha.2020.11.009

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