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Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study
Aims: To identify the key differentially expressed genes (DEGs) in islet and investigate their potential pathway in the molecular process of type 2 diabetes. Methods: Gene Expression Omnibus (GEO) datasets (GSE20966, GSE25724, GSE38642) of type 2 diabetes patients and normal controls were downloaded...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Biosci Rep |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Portland Press Ltd.
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6542763/ https://ncbi.nlm.nih.gov/pubmed/31088900 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1042/BSR20182172 |
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