Identification of Chemoresistance-Associated Key Genes and Pathways in High-Grade Serous Ovarian Cancer by Bioinformatics Analyses

Yong Wu,1,2,* Lingfang Xia,1,2,* Qinhao Guo,1,2,* Jun Zhu,1,2 Yu Deng,2,3 Xiaohua Wu1,2 1Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China; 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People&rsqu...

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Detalhes bibliográficos

Principais autores:	Wu Y, Xia L, Guo Q, Zhu J, Deng Y, Wu X
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Dove Medical Press 2020-06-01
coleção:	Cancer Management and Research
Assuntos:	high-grade serous ovarian cancer chemoresistance gene expression profiling bioinformatics analysis.
Acesso em linha:	https://www.dovepress.com/identification-of-chemoresistance-associated-key-genes-and-pathways-in-peer-reviewed-article-CMAR
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