Author

Ming Chu

Peking University

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 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Bangning Cheng· 1 shared Bi‐Feng LiuiD· 1 shared Chungen Qian· 1 shared Daoshun Wei· 1 shared Fuzhen Xia· 1 shared Ge GaoiD· 1 shared Hanbo Yao· 1 shared Hao TangiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Bangning Cheng

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2 papers

Recent·Most cited

Identifying Key Cells for Fibrosis by Systematically Calling Cell Type-Phenotype Associations across Massive Heterogenous Datasets

Xi Chen, Yang Ding, Shiqi Yang, Wei Lin, Ming Chu, Hao Tang, Lei Kong, Yi Zhou, Ge Gao

The paper develops a fibroblast atlas and a toolkit to identify key fibroblast subtypes and their associations with fibrosis, revealing potential therapeutic targets.

bioRxiv · Mar 23, 2025 · PreprintBioinformatics

Reconstruction of TrkB complex assemblies and localizing antidepressant targets using Artificial Intelligence

Xufu Xiang, Chungen Qian, Hanbo Yao, Pengjie Li, Bangning Cheng, Daoshun Wei, Wenjun An, Yuming Lu, Ming Chu, Lanlan Wei, Bi‐Feng Liu, Xu Junfa, Xin Liu, Fuzhen Xia

The paper uses AI to reconstruct TrkB complex assemblies and identify antidepressant targets by modeling receptor structures and interactions.

bioRxiv · Feb 21, 2023 · PreprintBioinformatics