Uncovering the potential pathological mechanism of acute pancreatitis in patients with COVID-19 by bioinformatics methods
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Uncovering the potential pathological mechanism of acute pancreatitis in patients with COVID-19 by bioinformatics methods |
| Zhaodi Wang, Ping Wang, Xuan Lu, Congying Song, Shuai Jiang, Li Li, Yuanqiang Lu |
| Figure 1. Enrichment analyses of DEGs. A and B: results of GO and KEGG enrichment analysis; C and D: results of GSEA in COVID-19 and AP. RAGE: receptor for advanced glycation endproducts; GSEA: gene set enrichment analysis; DEGs: differentially expressed genes; GO: gene ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; AP: acute pancreatitis. |
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