Functional analysis of gene expression profiling-based prediction in bladder cancer

The present study aimed to analyze the modification of gene expression in bladder cancer (BC) by identifying significant differentially expressed genes (DEGs) and functionally assess them using bioinformatics analysis. To achieve this, two microarray datasets, GSE24152 (which included 10 fresh tumor...

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Detalles Bibliográficos
Autores principales: Wang, Ji-Ping, Leng, Ji-Yan, Zhang, Rong-Kui, Zhang, Li, Zhang, Bei, Jiang, Wen-Yan, Tong, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5950606/
https://www.ncbi.nlm.nih.gov/pubmed/29805577
http://dx.doi.org/10.3892/ol.2018.8370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5950606/
https://www.ncbi.nlm.nih.gov/pubmed/29805577
http://dx.doi.org/10.3892/ol.2018.8370

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