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Article

Identification of key genes in allergic rhinitis by bioinformatics analysis

1 Jul 2021

Abstract excerpt

Objective This study aimed to explore the potential molecular mechanism of allergic rhinitis (AR) and identify gene signatures by analyzing microarray data using bioinformatics methods. Methods The dataset GSE19187 was used to screen differentially expressed genes (DEGs) between samples from patients with AR and healthy controls. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway...

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Share to Allergic Rhinitis and Sensitization
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34334005
DOI: 10.1177/03000605211029521

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