Author

Yuzheng Dun

Huazhong University of Science and TechnologyORCID 0009-0006-7072-8269Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yuzheng Dun1 paper · Fred Hutch Cancer Center

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrew D. JohnsoniD· 1 shared Gaynor Brady· 1 shared Hao Qiu· 1 shared Hui ChongiD· 1 shared Ingo RuczinskiiD· 1 shared Joshua P. LewisiD· 1 shared Julius Suh NgwaiD· 1 shared Kai KammersiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Andrew D. JohnsonORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintMay 18, 2026

A genome-wide meta-analysis identifies a sex-specific genetic effect for platelet aggregation in response to agonists

Julius Suh Ngwa, Ming‐Huei Chen, Gaynor Brady…·Ingo Ruczinski

This study identifies a sex-specific genetic variant affecting platelet aggregation in response to low-dose epinephrine across multiple cohorts.

DOI 10.64898/2026.05.14.26353192

humanwhole-genome sequencing

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BioinformaticsGenome MedicinePeer-reviewedApr 26, 2022

Ontology-Aware Deep Learning Enables Ultrafast, Accurate and Interpretable Source Tracking among Sub-Million Microbial Community Samples from Hundreds of Niches

Yuguo Zha, Hui Chong, Hao Qiu…·Kang Ning

This paper introduces ONN4MST, a deep learning method for microbial source tracking that achieves high accuracy and speed across large datasets of microbial communities.

31 citations

metagenomicsdeep learning

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