Combining Bioinformatics and Experiments to Identify and Verify Key Genes with Prognostic Values in Endometrial Carcinoma

Endometrial carcinoma(EC) is the most common cancer of female reproductive system, thus requiring for new effective biomarkers which could predict the onset of EC and poor prognosis. Our study integrated two GEO datasets(i.e.GSE63678, GSE17025) and TCGA(The Cancer Genome Atlas ) UCEC data to screen...

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Detalles Bibliográficos
Autores principales: Zhang, Wenchao, Gao, Lingling, Wang, Caixia, Wang, Shuang, Sun, Di, Li, Xiao, Liu, Miao, Qi, Yue, Liu, Juanjuan, Lin, Bei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959041/
https://www.ncbi.nlm.nih.gov/pubmed/31942195
http://dx.doi.org/10.7150/jca.35854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959041/
https://www.ncbi.nlm.nih.gov/pubmed/31942195
http://dx.doi.org/10.7150/jca.35854

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