Author

Shiyu Wan

University of North Carolina at Chapel Hill

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:software / tool· 1

Frequent Co-Authors

Baiming ZouiD· 2 shared Fei ZouiD· 2 shared Xinlei MiiD· 2 shared Di WuiD· 1 shared James G. XenakisiD· 1 shared Jianhua HuiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Baiming ZouORCID

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2 papers

Recent·Most cited

An Interpretable Deep Learning Framework for Biomarker Discovery in Complex Disease Survival Outcomes

Shiyu Wan, Xinlei Mi, Fei Zou, Baiming Zou

This paper introduces SurvDNN, a deep learning framework for survival outcome modeling in complex diseases, which outperforms existing methods in biomarker identification and prediction.

bioRxiv · Sep 30, 2025 · PreprintBioinformatics

A Deep Neural Network Two-part Model and Feature Importance Test for Semi-continuous Data

Baiming Zou, Xinlei Mi, Shiyu Wan, Di Wu, James G. Xenakis, Jianhua Hu, Fei Zou

This paper introduces a deep neural network-based two-part model for semi-continuous data and demonstrates its improved performance over existing methods.

The Annals of Applied Statistics · May 28, 2025Peer-reviewedBioinformatics