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Identification of key genes in osteoarthritis using bioinformatics, principal component analysis and meta-analysis
The present study aimed to identify key genes involved in osteoarthritis (OA). Based on a bioinformatics analysis of five gene expression profiling datasets (GSE55457, GSE55235, GSE82107, GSE12021 and GSE1919), differentially expressed genes (DEGs) in OA were identified. Subsequently, a protein-prot...
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| Опубликовано в: : | Exp Ther Med |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
D.A. Spandidos
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7678638/ https://ncbi.nlm.nih.gov/pubmed/33235627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/etm.2020.9450 |
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