BPX-Net: biomarker-preserved explainable networks for disease diagnosis and prognosis

Abstract Precise diagnosis of complex diseases increasingly depends on the integration of multimodal data. However, the high dimensionality of such data makes it difficult for traditional modeling methods to efficiently identify biomarkers, while deep learning approaches, despite their strong predic...

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Библиографические подробности

Главные авторы:	Jun Wang, Songchang Chen, Ru Wen, Haochao Ying, Wenqiu Xu, Lin Yin, Xiaojuan Deng, Can Han, Qun Zhu, Bin Zhang, Hongyan Tong, Chen Liu, Wei Chen, Jie Jin, Kai Jin, Chenming Xu, Hefeng Huang, Huafeng Wang, Dahong Qian
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2026-03-01
Серии:	BioData Mining
Предметы:	Multimodal modeling Deep learning Missing values Biomarker discovery Disease diagnosis
Online-ссылка:	https://doi.org/10.1186/s13040-026-00537-1
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