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Identification of candidate biomarkers and pathways associated with psoriasis using bioinformatics analysis

15 Jul 2020

Abstract excerpt

BACKGROUND: The aim of this study was to identify the candidate biomarkers and pathways associated with psoriasis. GSE13355 and GSE14905 were extracted from the Gene Expression Omnibus (GEO) database. Then the differentially expressed genes (DEGs) with |logFC| > 2 and adjusted P < 0.05 were chosen. In addition, the Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 32669126
DOI: 10.1186/s41065-020-00141-1

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