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ABSTRACT: Purpose
This work is aimed at identifying several molecular markers correlated with the diagnosis and development of basal cell carcinoma (BCC).Methods
The available microarray datasets for BCC were obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified between BCC and healthy controls. Afterward, the functional enrichment analysis and protein-protein interaction (PPI) network analysis of these screened DEGs were performed. An external validation for the DEG expression level was also carried out, and receiver operating characteristic curve analysis was used to evaluate the diagnostic values of DEGs.Result
In total, five microarray datasets for BCC were downloaded and 804 DEGs (414 upregulated and 390 downr
SUBMITTER: Liu Y
PROVIDER: S-EPMC7189327 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature