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...

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Detalles Bibliográficos
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:
Articles
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

Internet

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

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