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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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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2026-03-01
coleção:BioData Mining
Assuntos:
Multimodal modeling
Deep learning
Missing values
Biomarker discovery
Disease diagnosis
Acesso em linha:https://doi.org/10.1186/s13040-026-00537-1
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