Author

Yan Zhuang

Indiana UniversityPrimary ORCID profile (0000-0001-9353-7912 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Yan ZhuangiD2 papers · Peking University

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Buqing YeiD· 1 shared Dong He XuiD· 1 shared Fengyun Nie· 1 shared Hongxue MengiD· 1 shared Jiangli LiniD· 1 shared Jianjun SuniD· 1 shared Jianzhong Jeff Xi· 1 shared Joe Soundararajan· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Buqing YeORCID

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3 papers

Recent·Most cited

A five-dimensional functional state space for fingerprinting disease transcriptomes

Fengyun Nie, Yan Zhuang, K Chen, Jiangli Lin, Jianjun Sun

The paper introduces a five-dimensional functional state space to represent disease transcriptomes as interpretable fingerprints, improving human-AI interpretation and cross-condition profiling.

bioRxiv · Jul 9, 2026 · PreprintBioinformatics

Privacy-Preserving Genomic Data Sharing via Hybrid AES/ECC and Blockchain-Based Dynamic Consent

Joe Soundararajan, Yan Zhuang, Dong He Xu

This paper presents a framework for privacy-preserving genomic data sharing using AES-256-GCM, Curve25519, and blockchain for dynamic consent and access control.

bioRxiv · Nov 1, 2025 · PreprintBioinformatics

Interpretable high-resolution dimension reduction of spatial transcriptomics data by SpaHDmap

Junjie Tang, Zihao Chen, Kun Qian, Siyuan Huang, Yang He, Shenyi Yin, Xinyu He, Buqing Ye, Yan Zhuang, Hongxue Meng, Jianzhong Jeff Xi, Ruibin Xi

SpaHDmap improves spatial transcriptomics data resolution by integrating gene expression with histology images, producing interpretable embeddings and detecting refined spatial structures.

bioRxiv · Sep 12, 2024 · PreprintBioinformatics