2026-10-13T23:09:24Z https://www.scidb.cn/oai

10.57760/sciencedb.j00217.03668 2024-11-04T17:02:08Z

2024-11-04 Data Mining of Primary Sclerosing Cholangitis in the GEO Database doi:10.57760/sciencedb.j00217.03668 en Data from the Gene Expression Omnibus (GEO) database (GSE119600) for PSC were downloaded and analyzed using R software to identify differentially expressed genes (DEGs). Online analysis tools were employed for Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The STRING database (https://www.string-db.org) was used for protein-protein interaction (PPI) analysis to identify key genes in PSC, and ssGSEA was used to analyze immune cell infiltration. Primary sclerosing cholangitis; Differentially expressed genes; GEO database; Immune cell infiltrationKeywords Hong.LI Jiao.Mu Yuling.Liu PUBLIC https://creativecommons.org/licenses/by-sa/4.0/ dataset Science Data Bank