Author

Huazhen Lin

Southwestern University of Finance and EconomicsORCID 0000-0002-4890-9550Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Jin LiuiD· 2 shared Joe Poh-Sheng YeongiD· 2 shared Wei LiuiD· 2 shared Jinmiao CheniD· 1 shared Lei SuniD· 1 shared Tianwei YuiD· 1 shared Xiang ZhouiD· 1 shared Xiao ZhangiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersGenomics

Jin LiuORCID

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2 papers

Recent·Most cited

FAST: a fast and scalable factor analysis for spatially aware dimension reduction of multi-section spatial transcriptomics data

Wei Liu, Xiao Zhang, Xiaoran Chai, Zhenqian Fan, Huazhen Lin, Jinmiao Chen, Lei Sun, Tianwei Yu, Joe Poh-Sheng Yeong, Jin Liu

FAST improves spatial dimension reduction for multi-section SRT data by modeling count data and spatial smoothness, showing better performance and speed on real datasets.

bioRxiv · Jul 11, 2023 · PreprintGenomics

Joint dimension reduction and clustering analysis for single-cell RNA-seq and spatial transcriptomics data

Wei Liu, Xu Liao, Yi Yang, Huazhen Lin, Joe Poh-Sheng Yeong, Xiang Zhou, Xingjie Shi, Jin Liu

This paper introduces DR-SC, a method that jointly performs dimension reduction and spatial clustering for single-cell and spatial transcriptomics data, improving accuracy and biological relevance.

Nucleic Acids Research · Mar 22, 2022Peer-reviewedGenomics