Mining TCGA database for gene expression in ovarian serous cystadenocarcinoma microenvironment

BACKGROUND: Ovarian cancer is one of the leading causes of female deaths worldwide. Ovarian serous cystadenocarcinoma occupies about 90% of it. Effective and accurate biomarkers for diagnosis, outcome prediction and personalized treatment are needed urgently METHODS: Gene expression profile for OSC...

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Detalles Bibliográficos
Autores principales: Xu, Youzheng, Xu, Yixin, Wang, Chun, Xia, Baoguo, Mu, Qingling, Luan, Shaohong, Fan, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103916/
https://www.ncbi.nlm.nih.gov/pubmed/33987033
http://dx.doi.org/10.7717/peerj.11375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103916/
https://www.ncbi.nlm.nih.gov/pubmed/33987033
http://dx.doi.org/10.7717/peerj.11375

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