Glioblastoma is known to be the most lethal glioma and five year survival rate is only 10%. Thus, it is urgent to identify critical genes for glioblastoma therapy. In this paper, we have analysed promoter methylation profiles downloaded from The Cancer Genome Atlas using recently proposed principal component analysis based unsupervised feature extraction. New set of genes with aberrant promoter methylation associated with previously identified subtypes was identified.
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