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Identification of potential core genes in hepatoblastoma via bioinformatics analysis
[article]
2020
medRxiv
pre-print
Hepatoblastoma is the childhood liver cancer. Profound efforts have been made to illuminate the pathology, but the molecular mechanisms of hepatoblastoma are still not well understood. To identify the candidate genes in the carcinogenesis and progression of hepatoblastoma, microarray dataset GSE131329 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and pathway and Gene Ontology (GO) enrichment analysis were performed. The
doi:10.1101/2020.12.22.20248756
fatcat:jnxeahsjqvgffaqgxcx6bn4ska