Identification of key genes associated with cervical cancer based on bioinformatics analysis
Abstract Background Cervical cancer has extremely high morbidity and mortality, and its pathogenesis is still in the exploratory stage. This study aimed to screen and identify differentially expressed genes (DEGs) related to cervical cancer through bioinformatics analysis. Methods GSE63514 and GSE67...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMC
2024-07-01
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| Seri Bilgileri: | BMC Cancer |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s12885-024-12658-z |
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