A 63 signature genes prediction system is effective for glioblastoma prognosis

The present study aimed to explore possible prognostic marker genes in glioblastoma (GBM). Differentially expressed genes (DEGs) were screened by comparing microarray data of tumor and normal tissue samples from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset GSE22866. S...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yang, Xu, Jiaming, Zhu, Xiangdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810221/
https://www.ncbi.nlm.nih.gov/pubmed/29393370
http://dx.doi.org/10.3892/ijmm.2018.3422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810221/
https://www.ncbi.nlm.nih.gov/pubmed/29393370
http://dx.doi.org/10.3892/ijmm.2018.3422

Ejemplares similares