Article

Ensemble Machine Learning Approaches Predict Survival in Lower-Grade Glioma Based on Glycosphingolipid Gene Expression and Metabolic Modelling

2026-01-23

Abstract excerpt

Glycosphingolipids (GSLs) are essential components of biological membranes with important roles in cell signalling. Disrupted GSL metabolism is associated with malignancy across a range of cancers, with different GSLs implicated in distinct tumours. GSLs have potential mechanistic roles in cancer; however, their functions in Lower Grade Gliomas (LGGs) remain poorly understood. We present ensemble machine learning...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1cfe882f-b3bd-50db-96cc-5800899999b7
DOI: 10.64898/2026.01.21.700788

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Ensemble Machine Learning Approaches Predict Survival in Lower-Grade Glioma Based on Glycosphingolipid Gene Expression and Metabolic ModellingDOI 10.64898/2026.01.21.700788Read

Interplay of Sphingolipid Metabolism in Predicting Prognosis of GBM Patients: Towards Precision ImmunotherapySemantic proximity Read

Exploration of prognosis and immune infiltration characteristics in Glioblastoma Multiforme based on Lipid Metabolism related GenesSemantic proximity Read

Comprehensive analysis of the clinical and biological significances of cholesterol metabolism in lower-grade gliomasSemantic proximity Read

Unveiling the Molecular Mechanisms of Glioblastoma through an Integrated Network-Based ApproachSemantic proximity Read

Integrated single-cell and bulk RNA-sequencing data reveal prognosis and therapeutic response in low-grade glioma based on hypoxia-lactylation related genesSemantic proximity Read

Architecting the metabolic reprogramming survival risk framework in LUAD through single-cell landscape analysis: three-stage ensemble learning with genetic algorithm optimizationSemantic proximity Read

Prognostic power of a lipid metabolism gene panel for diffuse gliomasSemantic proximity Read

Multi-scale signaling and tumor evolution in high-grade gliomas.Semantic proximity Read

Lipid Metabolism classification of gliomasSemantic proximity Read

Integrative multi-omics Analysis Proposes a Metabolic Classification of Gliomas: Distinct Metabolic States, Immune Infiltration, and PrognosisSemantic proximity Read

Metabolism and Tumor Microenvironment-Associated Molecular Classification of NeuroblastomaSemantic proximity Read

Single-cell transcriptomic analysis identifies downregulated phosphodiesterase 8B as a novel oncogene in IDH-mutant glioma.Semantic proximity Read