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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Autors principals:	Xinmeng Yang, Mengsi Zhou, Yingying Luan, Kanghua Li, Yafen Wang, Xiaofeng Yang
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-07-01
Col·lecció:	BMC Cancer
Matèries:	Cervical cancer Differentially expressed genes Bioinformatics analysis Hub genes
Accés en línia:	https://doi.org/10.1186/s12885-024-12658-z
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