Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms

To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepatitis (NASH), we downloaded 2 publicly available gene expression profiles, GSE164760 and GSE37031, from the gene expression omnibus database. These profiles represent human NASH and control samples and...

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Veröffentlicht in:	Medicine (Baltimore) 2024-05, Vol.103 (20), p.e38001-e38001
Hauptverfasser:	Wang, Chao-Jie, Hu, Yu-Xia, Bai, Tu-Ya, Li, Jun, Wang, Han, Lv, Xiao-Li, Zhang, Meng-Di, Chang, Fu-Hou
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Gene Expression Profiling - methods Hep G2 Cells Humans Machine Learning Non-alcoholic Fatty Liver Disease - genetics Non-alcoholic Fatty Liver Disease - immunology Observational Study Support Vector Machine Transcriptome
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