Author

Weibing Wang

Xidian UniversityORCID 0009-0006-0148-4942Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:Hi-C· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:matrix factorization· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Lin GaoiD· 2 shared Yusen YeiD· 2 shared Hebing CheniD· 1 shared Junping LiiD· 1 shared Liang Yu· 1 shared Shihua ZhangiD· 1 shared Shiji Liu· 1 shared Yiheng Wang· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Lin GaoORCID

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2 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedMay 6, 2026

BandHiC: a memory-efficient and user-friendly Python package for organizing and analyzing Hi-C matrices down to sub-kilobase resolution

Weibing Wang, Junping Li, Yusen Ye, Lin Gao

BandHiC reduces memory usage for Hi-C matrices by 99% using a banded storage strategy while enabling efficient analysis of ultra-high-resolution data.

DOI 10.1186/s12864-026-12680-4

Hi-Cstatistical model

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BioinformaticsNature CommunicationsPeer-reviewedApr 6, 2026

CellLoop: Identifying single-cell 3D genome chromatin loops

Yusen Ye, Yiheng Wang, Shiji Liu…·Lin Gao

CellLoop identifies single-cell chromatin loops using a density-based framework, improving accuracy in mouse brain and embryogenesis data.

DOI 10.1038/s41467-026-71406-y

mouseHi-C

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