Integrated multiomics analysis and advanced machine learning techniques to refine molecular subtypes, stratify prognosis, characterize tumor microenvironment, and identify distinct sensitivity patterns to frontline therapies in lung squamous cell carcinoma

Abstract Lung squamous cell carcinoma (LUSC) is characterized by high aggressiveness and significant heterogeneity, currently lacking highly precise individualized treatment options. Leveraging computational methodologies, we integrated multi-omics data from LUSC patients using 10 clustering algorit...

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書誌詳細

主要な著者:	Shi Yan, Xu Zhang, Tongying Xu, Xiangyu Wang, Fanglin Tian, Weina Fan, Yuning Zhan, Li Cai, Ying Xing
フォーマット:	Artigo
言語:	Inglês
出版事項:	SpringerOpen 2026-01-01
シリーズ:	Journal of Big Data
主題:	Bioinformatics Immunotherapy Machine learning Multiomics Precision medicine Lung squamous cell carcinoma
オンライン･アクセス:	https://doi.org/10.1186/s40537-025-01354-9
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