Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis

Abstract excerpt

BACKGROUND: The Cancer Genome Atlas (TCGA) project is a large-scale effort with the goal of identifying novel molecular aberrations in glioblastoma (GBM). METHODS: Here, we describe an in-depth analysis of gene expression data and copy number aberration (CNA) data to classify GBMs into prognostic groups to determine correlates of subtypes that may be biologically significant. RESULTS: To identify predictive...

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