Identification of candidate biomarkers and pathways associated with psoriasis using bioinformatics analysis.
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ABSTRACT:
SUBMITTER: Luo Y
PROVIDER: S-EPMC7364515 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Publications
Identification of candidate biomarkers and pathways associated with psoriasis using bioinformatics analysis.
Luo Yongqi Y Luo Yangyang Y Chang Jing J Xiao Zhenghui Z Zhou Bin B
Hereditas 20200715 1
<h4>Background</h4>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 for DEGs were performed. Then, the GO terms with P < 0.05 and overlap coeffici ...[more]
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