Data Mining of Primary Sclerosing Cholangitis in the GEO Database
收藏DataCite Commons2025-04-27 更新2025-04-16 收录
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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.
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Science Data Bank
创建时间:
2024-11-04



