Cargando…
Identification of key genes in glioblastoma-associated stromal cells using bioinformatics analysis
The aim of the present study was to identify key genes and pathways in glioblastoma-associated stromal cells (GASCs) using bioinformatics. The expression profile of microarray GSE24100 was obtained from the Gene Expression Omnibus database, which included the expression profile of 4 GASC samples and...
Autores principales: | CHEN, CHENGYONG, SUN, CHONG, TANG, DONG, YANG, GUANGCHENG, ZHOU, XUANJUN, WANG, DONGHAI |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888085/ https://www.ncbi.nlm.nih.gov/pubmed/27313730 http://dx.doi.org/10.3892/ol.2016.4526 |
Ejemplares similares
-
The identification of key genes and pathways in glioblastoma by bioinformatics analysis
por: Farsi, Zahra, et al.
Publicado: (2023) -
Identification of key candidate genes and pathways in glioblastoma by integrated bioinformatical analysis
por: Li, Lei, et al.
Publicado: (2019) -
Identification of differentially expressed key genes between glioblastoma and low-grade glioma by bioinformatics analysis
por: Xu, Yang, et al.
Publicado: (2019) -
Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis
por: Chong, Xinyu, et al.
Publicado: (2020) -
Prediction and Analysis of Key Genes in Glioblastoma Based on Bioinformatics
por: Long, Hao, et al.
Publicado: (2017)