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

• 主要な著者: Zhongjian Chen (著者), Xiancong Huang (著者), Yun Gao (著者), Su Zeng (著者), Weimin Mao (著者)
• フォーマット: 図書
• 出版事項: Elsevier, 2021-08-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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....