DriverSub-SVM: a machine learning approach for cancer subtype classification by integrating patient-specific and global driver genes

Abstract Background Cancer’s complexity and heterogeneity pose significant challenges for personalized treatment. Accurate classification of patients into molecular subtypes is critical for targeted therapy and improved outcomes. However, existing methods often fail to simultaneously capture inter-p...

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Auteurs principaux:	Junrong Song, Yuanli Gong, Zhiming Song, Xinggui Xu, Kun Qian, Yingbo Liu
Format:	Artigo
Langue:	Inglês
Publié:	BMC 2025-12-01
Collection:	BMC Bioinformatics
Sujets:	Cancer subtype classification Driver gene identification Personalized ranking Concensus gene selection Multiclass SVM Interpretable machine learning
Accès en ligne:	https://doi.org/10.1186/s12859-025-06318-7
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