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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Bibliographic Details
Main Authors: Zhongjian Chen, Xiancong Huang, Yun Gao, Su Zeng, Weimin Mao
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Journal of Pharmaceutical Analysis
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095177920310844

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