Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning

Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning

Abstract Background Metabolic Associated Steatotic Liver Disease (MASLD), encompassing conditions simple liver steatosis (MAFL) and metabolic associated steatohepatitis (MASH), is the most prevalent chronic liver disease. Currently, the management of MASLD is impeded by the lack of reliable diagnost...

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Bibliographic Details
Main Authors: Weiliang Zhang, Weirong Lu, Yaqi Jiao, Tianhao Li, Haining Wang, Chunhua Wan
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Journal of Translational Medicine
Subjects:
Metabolic associated steatotic liver disease
Disease biomarker
Inflammation
Bioinformatics
Weighted gene co-expression network analysis
Online Access:https://doi.org/10.1186/s12967-025-06490-7
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https://doi.org/10.1186/s12967-025-06490-7

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