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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Detalles Bibliográficos
Autores principales: Gang, Xiaokun, Sun, Yan, Li, Fei, Yu, Tong, Jiang, Zhende, Zhu, Xiujie, Jiang, Qiyao, Wang, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
6900
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626145/
https://www.ncbi.nlm.nih.gov/pubmed/28767591
http://dx.doi.org/10.1097/MD.0000000000007673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626145/
https://www.ncbi.nlm.nih.gov/pubmed/28767591
http://dx.doi.org/10.1097/MD.0000000000007673

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