Identification of Glioma Phenotypic Subtypes From Multimodal <scp>MRI</scp> Data Using Hierarchical Multi‐Kernel Learning

Our study provides a non-invasive method to identify glioma phenotypic subtypes, reveal distinct signaling pathways, and define therapeutically homogeneous patient subgroups that could guide targeted therapy.

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Publication Details

Journal
Cancer Medicine
Published
2026-02-01
DOI
https://doi.org/10.1002/cam4.71572
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Glioma Phenotypic Subtypes From Multimodal MRI Data Using Hierarchical Multi‐Kernel Learning

Junyu Yan, Hongyan Cao, Congcong Jia, Tong Wang et al.
Cancer Medicine
Glioma Diagnosis and Treatment
article

Identification of Glioma Phenotypic Subtypes From Multimodal MRI Data Using Hierarchical Multi‐Kernel Learning

Junyu Yan, Hongyan Cao, Congcong Jia, Tong Wang, Wenju Niu, Yan Tan, Min Hao, Qi Yang, Guoqiang Yang, Hui Zhang
article en

Abstract

Our study provides a non-invasive method to identify glioma phenotypic subtypes, reveal distinct signaling pathways, and define therapeutically homogeneous patient subgroups that could guide targeted therapy.

Cancer MedicineVol. 15(2)
Shanxi Medical University (CN), First Hospital of Shanxi Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Glioma Diagnosis and Treatment
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