Integrating multi-omics analysis and machine learning to refine molecular subtypes and prognostic assessment of lower-grade glioma

Lower-grade glioma (LGG) is a highly heterogeneous disease, making accurate prognosis prediction and the development of precise, personalized treatment plans for patients challenging. The multi-omics data from patients with LGG were analyzed using 10 clustering algorithms to identify subgroups at ve...

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Hlavní autoři:	Qian Jiang, Ai-Yu Yang, Guan-Ling Mo, Li-Gen Mo, Teng Deng, Su-Ning Huang, Sheng-Tao Hou, Qian-Rong Huang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-06-01
Edice:	Molecular Therapy: Oncology
Témata:	lower-grade glioma machine learning multi-omics artificial intelligence prognosis
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2950329926001037
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