Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC

Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC

Abstract Background Immunotherapy has introduced new breakthroughs in improving the survival of head and neck squamous cell carcinoma (HNSCC) patients, yet drug resistance remains a critical challenge. Developing personalized treatment strategies based on the molecular heterogeneity of HNSCC is esse...

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Bibliographic Details
Main Authors: Xiaoqin Luo, Chao Li, Gang Qin
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Hereditas
Subjects:
Head and neck squamous cell carcinoma
Multi-omics analyses
Machine learning
Prognostic model
Immunotherapy
Online Access:https://doi.org/10.1186/s41065-025-00380-0
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https://doi.org/10.1186/s41065-025-00380-0

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