Author

Xiufen Zou

Wuhan UniversityORCID 0000-0001-5294-0764Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Bo LiuiD· 1 shared Fang‐Xiang WuiD· 1 shared Xiao Kun ZhengiD· 1 shared Yuan HuangiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 2 mutual co-author links

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1 shared paperBioinformatics

Bo LiuORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE Journal of Biomedical and Health InformaticsPeer-reviewedJan 13, 2021

scASK: A novel ensemble framework for classifying cell types based on single-cell RNA-seq data

Bo Liu, Fang‐Xiang Wu, Xiufen Zou

scASK is an ensemble framework for classifying cell types from scRNA-seq data, achieving better accuracy and robustness than existing methods.

5 citations

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 27, 2020

scPADGRN: A preconditioned ADMM approach for reconstructing dynamic gene regulatory network using single-cell RNA sequencing data

Xiao Kun Zheng, Yuan Huang, Xiufen Zou

scPADGRN reconstructs dynamic gene regulatory networks from time-series scRNA-seq data, identifying key regulators in cell differentiation using a novel method and quantitative index.

9 citations

𝕏 PostBluesky