Author

Lingbei Meng

Chinese University of Hong Kong, Shenzhen

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Jianqing Zhu· 2 shared Jinchao Xu· 2 shared Lian ZhangiD· 2 shared Bo LiiD· 1 shared Bob ZhangiD· 1 shared Bowen Han· 1 shared Boyu ZhangiD· 1 shared Chengyang ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Jianqing Zhu

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2 papers

Recent·Most cited

BioMod: Biological Module Tokenization for Single-Cell Foundation Modeling

Lingbei Meng, Jianqing Zhu, Bowen Han, Yupeng Zang, Wenlin Li, Kewei Zong, Jian Zhong, Ying Yang, Jin Liu, Jiwei Jia, Ruoyu Sun, Guangjun Yu, Jiarui Han, Yan Chen, Lian Zhang, Jinchao Xu

BioMod introduces biological modules as intermediate units for single-cell foundation modeling, achieving state-of-the-art performance in cell-type annotation and drug-response prediction.

bioRxiv · Oct 13, 2026 · PreprintBioinformatics

When label-free morphology is sufficient for targeted cellular measurements

Mengran Li, Jianqing Zhu, Bo Li, Chengyang Zhang, Zhenchao Tang, Jiaying Wang, Wenbin Xing, Boyu Zhang, Jinfeng Xu, Lingbei Meng, Bob Zhang, Junzhou Chen, Ronghui Zhang, Lian Zhang, Jinchao Xu

The paper evaluates whether label-free morphology can replace targeted cellular measurements by analyzing paired phase-reporter data across gene knockouts and screens.

bioRxiv · Oct 13, 2026 · PreprintBioinformatics