Author

Zirui Zhu

Harbin Institute of TechnologyORCID 0009-0007-6736-8757Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:deconvolution· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Sijing DuiD· 2 shared Xiangming YaniD· 2 shared Yangen ZhaniD· 2 shared Yongbing ZhangiD· 2 shared Zheqi HuiD· 2 shared Bingqian SuniD· 1 shared Hongpeng WangiD· 1 shared Jingyun CheniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Sijing DuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsGenome MedicinePeer-reviewedFeb 28, 2025

LETSmix: a spatially informed and learning-based domain adaptation method for cell-type deconvolution in spatial transcriptomics

Yangen Zhan, Yongbing Zhang, Zheqi Hu…·Xiu Li

LETSmix improves cell-type deconvolution in spatial transcriptomics by integrating spatial context and domain adaptation, achieving better accuracy than existing methods.

14 citationstop 5%

humanmouse

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 22, 2024

STEP: Deciphering Spatial Atlas at Single-Cell Level with Whole-Transcriptome Coverage

Zheqi Hu, Zirui Zhu, Linghan Cai…·Yongbing Zhang

STEP enhances spatial transcriptome data to single-cell resolution and infers transcriptome-wide expression, enabling precise cell type prediction and intercellular communication analysis.

1 citation

spatial transcriptomicsdeep learning

𝕏 PostBluesky