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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....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Xi'an Jiaotong University
2021
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| Materias: | |
| 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 |