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Systematic analysis identifies REST as an oncogenic and immunological biomarker in glioma

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Systematic analysis identifies REST as an oncogenic and immunological biomarker in glioma

MAPK signaling pathway-based glioma subtypes, machine-learning risk model, and key hub proteins identification

An expression based REST signature predicts patient survival and

Expression of the repressor element 1 silencing transcription

IJMS, Free Full-Text

The overexpression and clinical significance of TBX15 in human

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A network medicine approach for identifying diagnostic and prognostic biomarkers and exploring drug repurposing in human cancer - Computational and Structural Biotechnology Journal

REST was significantly up-regulated in glioma. (A) The difference

Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients

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