A comprehensive bioinformatics analysis to identify a candidate prognostic biomarker for ovarian cancer

BACKGROUND: This study aimed to investigate prognostic genes in ovarian cancer (OC) and to explore their potential underlying biological mechanisms through a comprehensive bioinformatics analysis. METHODS: Common differentially expressed genes (DEGs) in 3 OC datasets from the Gene Expression Omnibus...

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Detalles Bibliográficos
Autores principales: Zhu, Huijun, Yue, Haiying, Xie, Yiting, Du, Qinghua, Chen, Binglin, Zhou, Yanhua, Liu, Wenqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797831/
https://www.ncbi.nlm.nih.gov/pubmed/35116478
http://dx.doi.org/10.21037/tcr-21-380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797831/
https://www.ncbi.nlm.nih.gov/pubmed/35116478
http://dx.doi.org/10.21037/tcr-21-380

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