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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...

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Detaylı Bibliyografya
Asıl Yazarlar: Xinmeng Yang, Mengsi Zhou, Yingying Luan, Kanghua Li, Yafen Wang, Xiaofeng Yang
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BMC 2024-07-01
Seri Bilgileri:BMC Cancer
Konular:
Online Erişim:https://doi.org/10.1186/s12885-024-12658-z
Etiketler: Etiketle
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