Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma

Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma

Abstract Background Melanoma (SKCM) is an extremely aggressive form of cancer, characterized by high mortality rates, frequent metastasis, and limited treatment options. Our study aims to identify key target genes and enhance the diagnostic accuracy of melanoma prognosis by employing multi-omics ana...

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Bibliographic Details
Main Authors: Songyun Zhao, Zihao Li, Kaibo Liu, Gaoyi Wang, Quanqiang Wang, Hua Yu, Wanying Chen, Hao Dai, Yijun Li, Jiaheng Xie, Yucang He, Liqun Li
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Melanoma
Multi-omics analysis
Machine learning
Molecular subtyping
MLDS
AGPAT2
Online Access:https://doi.org/10.1186/s12885-025-14012-3
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