Author

Jiahao Zhou

Shenzhen UniversityORCID 0000-0002-4931-9130Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:batch correction / integration· 2 Approach:deep learning· 2 Assay:multiome· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Guohua DongiD· 2 shared Jing WangiD· 2 shared Jinhui ShiiD· 2 shared Le Ou-YangiD· 2 shared Runyan LiuiD· 2 shared Shuofeng HuiD· 2 shared Xiaochen BoiD· 2 shared Xiaomin YingiD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Guohua DongORCID

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Author profile →

2 papers

Recent·Most cited

Continual integration of single-cell multimodal data with MIRACLE

Jiahao Zhou, Jing Wang, Shuofeng Hu, Tongtong Kan, Chao Feng, Xiaohan Qiang, Guohua Dong, Jinhui Shi, Runyan Liu, Xiaochen Bo, Le Ou-Yang, Xiaomin Ying, Zhen He

MIRACLE enables efficient continual integration of single-cell multimodal data, updating cell atlases with new data without reintegration, and identifies novel cell types and transfers labels across datasets.

Nature Computational Science · Jul 31, 2026Peer-reviewedBioinformatics

MIDAS: a deep generative model for mosaic integration and knowledge transfer of single-cell multimodal data

Zhen He, Yaowen Chen, Shuofeng Hu, Sijing An, Junfeng Shi, Runyan Liu, Jiahao Zhou, Guohua Dong, Jinhui Shi, Jiaxin Zhao, Jing Wang, Yuan Zhu, Le Ou-Yang, Xiaochen Bo, Xiaomin Ying

MIDAS integrates and transfers knowledge from single-cell multimodal data by addressing modality alignment and batch effects through a deep probabilistic framework.

bioRxiv · Dec 13, 2022 · PreprintBioinformatics