Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach.

Md Rakibul Islam Lway Faisal Abdulrazak Mohammad Khursheed Alam Bikash Kumar Paul Kawsar Ahmed Francis M Bui Mohammad Ali Moni

Published in: BioMed research international (2022)

Four key clusters were identified using the PEWCC 1.0 method. Additionally, the survival analysis of hub genes was brought out based on clinical information of 612 MB patients. This bioinformatics analysis may help to define the pathogenesis and originate new treatments for MB.

Keyphrases

bioinformatics analysis
end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
prognostic factors
peritoneal dialysis
gene expression
genome wide
healthcare
risk assessment
patient reported outcomes
human health
climate change
network analysis