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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...
Autores principales: | Zhang, Wenchao, Gao, Lingling, Wang, Caixia, Wang, Shuang, Sun, Di, Li, Xiao, Liu, Miao, Qi, Yue, Liu, Juanjuan, Lin, Bei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
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Materias: | |
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 |
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