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Identification of key genes in allergic rhinitis by bioinformatics analysis

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 patient...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Yunfei Zhang, Yue Huang, Wen-xia Chen, Zheng-min Xu
Format: Artigo
Sprache:Inglês
Veröffentlicht: SAGE Publishing 2021-07-01
Schriftenreihe:Journal of International Medical Research
Online-Zugang:https://doi.org/10.1177/03000605211029521
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