Author

Yushan Hu

University of Victoria

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· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 4 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:clustering· 2 Approach:graph neural network· 2 Organism:human· 2 Assay:scATAC-seq· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Xuekui ZhangiD· 4 shared Don D. SiniD· 2 shared Firoozeh V. GerayeliiD· 2 shared Janice M. LeungiD· 2 shared Jin ShiiD· 2 shared Xiaojian ShaoiD· 2 shared Xiaowen Cao· 2 shared Yao DongiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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4 shared papersBioinformatics

Xuekui ZhangORCID

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4 papers

Recent·Most cited

Real-paired single-cell/bulk RNA-seq benchmark and a practical protocol for accurate cell-type deconvolution in human BAL samples

Yushan Hu, Ziying Liu, Danielle Tsao, Janice M. Leung, Firoozeh V. Gerayeli, Xuan Li, Xiaojian Shao, Don D. Sin, Xuekui Zhang

Systematic benchmarking reveals pseudo-bulk biases and provides practical fixes for accurate RNA deconvolution.

bioRxiv · Jan 14, 2026 · PreprintBioinformatics

A standardized atlas of human bronchoalveolar lavage cells built using scalable ensemble annotation and cross-study robust markers

Yushan Hu, Ziying Liu, Kailun Bai, Belaid Moa, Janice M. Leung, Firoozeh V. Gerayeli, Don D. Sin, Xiaojian Shao, Xuekui Zhang

The paper constructs a standardized BAL scRNA-seq atlas using BAL-EA, a novel annotation framework, revealing disease-associated shifts in COPD and validating findings in COVID-19 datasets.

bioRxiv · Jan 9, 2026 · PreprintGenomics

MOH: a novel multilayer multi-omics heterogeneous graph for single-cell clustering

Yao Dong, Chen Chen, Jin Shi, Yushan Hu, Xiaowen Cao, Yongfeng Dong, Xuekui Zhang

MOH improves single-cell clustering by integrating three omics types into a multilayer heterogeneous graph, achieving better performance than existing methods.

IEEE Journal of Biomedical and Health Informatics · Dec 12, 2025Peer-reviewedBioinformatics

scAGCI: an anchor graph-based method for cell clustering from integrated scRNA-seq and scATAC-seq data

Yao Dong, Jiaxue Zhang, Jin Shi, Yushan Hu, Xiaowen Cao, Li Xing, Yongfeng Dong, Xuekui Zhang

scAGCI improves cell clustering in integrated scRNA-seq and scATAC-seq data by using anchor graphs to capture shared and specific information, achieving better performance and biological relevance.

Briefings in Bioinformatics · Jul 1, 2025Peer-reviewedBioinformatics