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Bioinformatics Analysis Explores Potential Hub Genes in Nonalcoholic Fatty Liver Disease

29 Oct 2021

Abstract excerpt

Background: Nonalcoholic fatty liver disease (NAFLD) is now recognized as the most prevalent chronic liver disease worldwide. However, the dysregulated gene expression for NAFLD is still poorly understood. Material and methods: We analyzed two public datasets (GSE48452 and GSE89632) to identify differentially expressed genes (DEGs) in NAFLD. Then, we performed a series of bioinformatics analyses to explore...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34777484
DOI: 10.3389/fgene.2021.772487

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