Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments

BACKGROUND: Although major driver gene have been identified, the complex molecular heterogeneity of renal cell cancer (RCC) remains unclear. Therefore, more relevant genes need to be identified to explain the pathogenesis of renal cancer. METHODS: Microarray datasets GSE781, GSE6344, GSE53000 and GS...

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Detalles Bibliográficos
Autores principales: Chen, Yeda, Gu, Di, Wen, Yaoan, Yang, Shuxin, Duan, Xiaolu, Lai, Yongchang, Yang, Jianan, Yuan, Daozhang, Khan, Aisha, Wu, Wenqi, Zeng, Guohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372855/
https://www.ncbi.nlm.nih.gov/pubmed/32699530
http://dx.doi.org/10.1186/s12935-020-01405-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372855/
https://www.ncbi.nlm.nih.gov/pubmed/32699530
http://dx.doi.org/10.1186/s12935-020-01405-6

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