Identification of hub gene for the pathogenic mechanism and diagnosis of MASLD by enhanced bioinformatics analysis and machine learning

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogeneous disease caused by multiple etiologies. It is characterized by excessive fat accumulation in the liver. Without intervention, MASLD can progress from steatosis to metabolic dysfunction-associated steatohepatitis (MASH...

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Bibliographic Details
Published in:	PloS one Vol. 20; no. 5; p. e0324972
Main Authors:	Lu, Hong, Mao, Ziyong, Zheng, Mengyao, Zhang, Min, Huang, Heqing, Chen, Yiling, Lv, Long, Chen, Zutao
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 28.05.2025 Public Library of Science (PLoS)
Subjects:	Bioinformatics Biology and Life Sciences Biopsy Cirrhosis Computational biology Computational Biology - methods Diagnosis Fatty liver Fatty Liver - diagnosis Fatty Liver - genetics Fatty Liver - pathology Fibrosis Gene expression Gene Expression Profiling Genes Genetic aspects Hepatocellular carcinoma Humans Inflammation Lipid metabolism Lipid Metabolism - genetics Lipids Liver Liver Cirrhosis - diagnosis Liver Cirrhosis - genetics Liver diseases Machine Learning Medical genetics Medicine and Health Sciences Metabolism Pathogenesis Proteins Ribonucleic acid RNA Software Steatosis Variables China
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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