Cargando…
Examining the biomarkers and molecular mechanisms of medulloblastoma based on bioinformatics analysis
Medulloblastoma (MB) is the most common malignant brain tumor in children. The aim of the present study was to predict biomarkers and reveal their potential molecular mechanisms in MB. The gene expression profiles of GSE35493, GSE50161, GSE74195 and GSE86574 were downloaded from the Gene Expression...
Autores principales: | Yang, Biao, Dai, Jun-Xi, Pan, Yuan-Bo, Ma, Yan-Bin, Chu, Sheng-Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540325/ https://www.ncbi.nlm.nih.gov/pubmed/31289514 http://dx.doi.org/10.3892/ol.2019.10314 |
Ejemplares similares
-
Identification of biomarkers and construction of a microRNA-mRNA regulatory network for ependymoma using integrated bioinformatics analysis
por: Yang, Biao, et al.
Publicado: (2019) -
Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach
por: Islam, Md. Rakibul, et al.
Publicado: (2022) -
Integrated Transcriptome Analyses and Experimental Verifications of Mesenchymal-Associated TNFRSF1A as a Diagnostic and Prognostic Biomarker in Gliomas
por: Yang, Biao, et al.
Publicado: (2020) -
The mechanism of non-coding RNAs in medulloblastoma
por: Zhao, Ying-Nan, et al.
Publicado: (2021) -
Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis
por: Yang, Biao, et al.
Publicado: (2020)