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ABSTRACT: Background
Biliary atresia (BA) is a devastating progressive fibro inflammatory disorder in infants. The exact etiology of BA is still unclear. This study aimed screen key genes potentially associated with the occurrence of BA.Methods
All BA data was obtained from GSE46960 dataset. The limma package in R language was used for differentially expressed gene (DEG) analyses. gene ontology and Kyoto encyclopedia of genes and genomes enrichment analysis were performed on the screened DEGs, using "clusterProfiler" package. protein-protein interaction network was built based on STRING Cytoscape software (Bethesda, Rockville, MD). The logistic regression model was constructed based on the selected DEGs.Results
There were totally 78 DEGs in BA samples compared with normal sam
SUBMITTER: Li H
PROVIDER: S-EPMC10019104 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature