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

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 ch...

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Detalles Bibliográficos
Autores principales: Luo, Yongqi, Luo, Yangyang, Chang, Jing, Xiao, Zhenghui, Zhou, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364515/
https://www.ncbi.nlm.nih.gov/pubmed/32669126
http://dx.doi.org/10.1186/s41065-020-00141-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364515/
https://www.ncbi.nlm.nih.gov/pubmed/32669126
http://dx.doi.org/10.1186/s41065-020-00141-1

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