Deep neural network-based biostatistical analysis for disease marker screening

Abstract Traditional statistical methods have limitations when dealing with high-dimensional, small-sample data. Deep learning methods have attracted widespread attention due to their powerful feature learning capabilities. Leveraging deep neural networks (DNNs), this paper proposes a novel biomarke...

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Bibliografiske detaljer

Hovedforfatter:	Xinyi Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-01-01
Serier:	Scientific Reports
Fag:	Deep neural network (DNN) Biomarker screening Precision medicine SHAP value Breast cancer Feature selection
Online adgang:	https://doi.org/10.1038/s41598-025-34115-y
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