Author

Hongwu Du

University of Science and Technology BeijingORCID 0000-0002-9809-5313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 6

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 4 Approach:statistical model· 4 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Research Focus:trajectory inference· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Zehua ZengiD· 6 shared Cencan XingiD· 5 shared Yuanyan XiongiD· 3 shared Yuqing Ma· 2 shared Bowen TaniD· 1 shared Chen LiiD· 1 shared Hao ZhuiD· 1 shared Jieshen Xian· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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6 shared papersBioinformatics

Zehua ZengORCID

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6 papers

Recent·Most cited

OmicOS: A Comprehensive Omics Ecosystem Infrastructure and Agent System for the AI Era

Zehua Zeng, Xu Meng, LH Hu, Chen Li, Pi Liu, Y Shi, Xuejiao Ma, Lianchong Gao, Xuelei Wang, Zhi Luo, Yawen Zheng, Jieshen Xian, Ziheng Lin, Hao Zhu, Z H E N G M Jiang, , Hongwu Du

OmicOS provides an agent-operable omics ecosystem that enables AI systems to execute and verify analyses using community methods, achieving high performance in benchmark tasks.

bioRxiv · Jun 16, 2026 · PreprintBioinformatics

CellOntologyMapper: Consensus mapping of cell type annotation

Zehua Zeng, Xuehai Wang, Hongwu Du, Cencan Xing

CellOntologyMapper standardizes cell type annotations by mapping user-defined names to standardized ontological terms, improving data integration and analysis across diverse single-cell datasets.

iMetaOmics. · Nov 6, 2025Peer-reviewedBioinformatics

FT-Kernel: An innovative kernel for decoding cellular secrets related time

Cencan Xing, Yuqing Ms, Yanting Wang, Yixuan Wang, Peiwu Qin, Hongwu Du, Zehua Zeng

FT-Kernel predicts cell fate factors and dynamics along pseudotime using cell-state density and regression weights, outperforming existing methods in capturing lineage transitions and interactions.

bioRxiv · Mar 1, 2025 · PreprintBioinformatics

OmicVerse: A single pipeline for exploring the entire transcriptome universe

Zehua Zeng, Yuqing Ma, Lei Hu, Bowen Tan, Peng Liu, Yixuan Wang, Cencan Xing, Yuanyan Xiong, Hongwu Du

OmicVerse integrates bulk and single-cell RNA-seq analysis with a pipeline that restores continuity in interrupted single-cell data using Beta-Variational AutoEncoder and graph neural networks.

Nature Communications · Jul 16, 2024Peer-reviewedBioinformatics

Identify the origin and end cells and infer the trajectory of cellular fate automatically

Zehua Zeng, Cencan Xing, Lei Hu, Shah Roshan, Yuanyan Xiong, Hongwu Du

This paper introduces scLTNN, a method for automatically inferring origin and end cell states and developmental trajectories from scRNA-seq data with low computational cost.

bioRxiv · Sep 28, 2022 · PreprintBioinformatics

Predictions for the binding domain and potential new drug targets of 2019-nCoV

Zehua Zeng, Zhi Yong Luo, Hongwu Du

The paper predicts the binding domain and identifies potential new drug targets for 2019-nCoV by analyzing its surface glycoprotein and comparing it to SARS-CoV.

bioRxiv · Feb 26, 2020 · PreprintBioinformatics