Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer

Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer

Abstract Background This study aimed to explore and identify key genes and signaling pathways that contribute to the progression of cervical cancer to improve prognosis. Methods Three gene expression profiles (GSE63514, GSE64217 and GSE138080) were screened and downloaded from the Gene Expression Om...

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Bibliographic Details
Main Authors: Baojie Wu, Shuyi Xi
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Cancer
Subjects:
Bioinformatics analysis
Cervical intraepithelial neoplasia
Cervical cancer
Differentially expressed genes
Functional enrichments
Online Access:https://doi.org/10.1186/s12885-021-08412-4

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