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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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| 出版年: | Medicine (Baltimore) |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wolters Kluwer Health
2017
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| 主題: | |
| オンライン･アクセス: | 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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