Cargando…
Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma
Clear cell renal cell carcinoma (ccRCC) is the most common type of kidney cancer. The present study was conducted to explore the mechanisms and identify the potential target genes for ccRCC using bioinformatics analysis. The microarray data of GSE15641 were screened on Gene-Cloud of Biotechnology In...
Autores principales: | Wang, Jinxing, Yuan, Lushun, Liu, Xingnian, Wang, Gang, Zhu, Yuan, Qian, Kaiyu, Xiao, Yu, Wang, Xinghuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958663/ https://www.ncbi.nlm.nih.gov/pubmed/29805645 http://dx.doi.org/10.3892/ol.2018.8473 |
Ejemplares similares
-
Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysis
por: Yuan, Lushun, et al.
Publicado: (2018) -
Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC)
por: Yuan, Lushun, et al.
Publicado: (2017) -
Identification of Biomarkers Associated With Pathological Stage and Prognosis of Clear Cell Renal Cell Carcinoma by Co-expression Network Analysis
por: Chen, Liang, et al.
Publicado: (2018) -
PPARα gene is a diagnostic and prognostic biomarker in clear cell renal cell carcinoma by integrated bioinformatics analysis
por: Luo, Yongwen, et al.
Publicado: (2019) -
A novel correlation between ATP5A1 gene expression and progression of human clear cell renal cell carcinoma identified by co-expression analysis
por: Yuan, Lushun, et al.
Publicado: (2018)