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Article

Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma.

Journal of molecular neuroscience : MN - 1 Apr 2018

Shu Chang, Wang Qiong, Yan Xiaoling, Wang Jinhuan

Abstract excerpt

The aim of our study is to build a framework for a better understanding of high-grade glioma (HGG) prognostic-related biomarkers. Whole-genome gene expression microarray was performed to identify differently expressed genes between HGGs and low-grade diffuse gliomas. Several machine learning algorithms were used to filter prognostic-related genes. One hundred ninety-three HGG patients after surgical resection...

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Source

Identifiers

PMID: 29502292
DOI: 10.1007/s12031-018-1049-7

Genes

WEE1
EMP3
IDH1
MGMT

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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