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Identification of key genes associated with rheumatoid arthritis with bioinformatics approach

We aimed to identify key genes associated with rheumatoid arthritis (RA). The microarray datasets of GSE1919, GSE12021, and GSE21959 (35 RA samples and 32 normal controls) were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) in RA samples were identified u...

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Dades bibliogràfiques
Publicat a:Medicine (Baltimore)
Autors principals: Gang, Xiaokun, Sun, Yan, Li, Fei, Yu, Tong, Jiang, Zhende, Zhu, Xiujie, Jiang, Qiyao, Wang, Yao
Format: Artigo
Idioma:Inglês
Publicat: Wolters Kluwer Health 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5626145/
https://ncbi.nlm.nih.gov/pubmed/28767591
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000007673
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