Identification and Validation of Biomarkers in Metabolic Dysfunction‐Associated Steatohepatitis Using Machine Learning and Bioinformatics

Identification and Validation of Biomarkers in Metabolic Dysfunction‐Associated Steatohepatitis Using Machine Learning and Bioinformatics

ABSTRACT Background The incidence of metabolic dysfunction‐associated steatohepatitis (MASH) is increasing annually. MASH can progress to cirrhosis and hepatocellular carcinoma. However, the early diagnosis of MASH is challenging. Aim To screen prospective biomarkers for MASH and verify their effect...

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Bibliographic Details
Main Authors: Yu‐Ying Zhang, Jin‐E Li, Hai‐Xia Zeng, Shuang Liu, Yun‐Fei Luo, Peng Yu, Jian‐Ping Liu
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Molecular Genetics & Genomic Medicine
Subjects:
biomarkers
immune cell infiltration
machine learning algorithms
malic enzyme 1
metabolic dysfunction‐associated steatohepatitis
Online Access:https://doi.org/10.1002/mgg3.70063

Internet

https://doi.org/10.1002/mgg3.70063

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