Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms

Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms

ABSTRACT Background Gastric cancer (GC) is considered a highly heterogeneous disease, and currently, a comprehensive approach encompassing molecular data from various biological levels is lacking. Methods This study conducted different analyses, including the identification of differentially express...

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Bibliographic Details
Main Authors: Yi Liu, Bingxian Bian, Shiyu Chen, Bingqian Zhou, Peng Zhang, Lisong Shen, Hui Chen
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Cancer Medicine
Subjects:
diagnostic and prognostic potential
gastric cancer
integrated bioinformatics analysis
promising biomarkers
RT‐PCR and ELISA
Online Access:https://doi.org/10.1002/cam4.70659
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https://doi.org/10.1002/cam4.70659

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