Author

Minping Qian

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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Approach:statistical model· 2 Research Focus:trajectory inference· 2 Assay:bulk RNA-seq· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Michael Q. ZhangiD· 2 shared Da-Quan Jiang· 1 shared Jia-Xing GaoiD· 1 shared Lang ZengiD· 1 shared Minglei ShiiD· 1 shared Yang CheniD· 1 shared Yanjie Zhong· 1 shared Zhaofeng Ye· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Michael Q. ZhangORCID

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2 papers

Recent·Most cited

A data-driven method to learn a jump diffusion process from aggregate biological gene expression data

Jia-Xing Gao, Zhenyi Wang, Michael Q. Zhang, Minping Qian, Da-Quan Jiang

This paper introduces a data-driven method to learn a jump diffusion process from aggregate gene expression data, enabling prediction of gene expression dynamics and RNA velocity.

Journal of Theoretical Biology · Oct 1, 2021Peer-reviewedBioinformatics

MarkovHC: Markov hierarchical clustering for the topological structure of high-dimensional single-cell omics data

Zhenyi Wang, Yanjie Zhong, Zhaofeng Ye, Lang Zeng, Yang Chen, Minglei Shi, Minping Qian, Michael Q. Zhang

MarkovHC is a clustering algorithm that identifies cell types, trajectories, and critical points in single-cell omics data by reconstructing a pseudo-energy landscape based on metastability theory.

bioRxiv · Nov 4, 2020 · PreprintBioinformatics