Author

Kui Su

BGI Group (China)ORCID 0000-0002-7152-7841Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Organism:Arabidopsis· 1 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Xiuwen FengiD· 2 shared Xun XuiD· 2 shared Yong ZhangiD· 2 shared Ao CheniD· 1 shared Bohan ZhangiD· 1 shared Caili Huang· 1 shared Chao ZhangiD· 1 shared Diyan Liang· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Xiuwen FengORCID

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3 papers

Recent·Most cited

Scaling genome annotation across the eukaryotic tree of life with OrionGeno

Lin Liu, Xudong Cai, Shengfu Wang, Yuan Deng, Yiwen Wu, Youliang Pan, Jieyu Wang, Chao Zhang, Haopeng Xia, Nongzhang Tan, Kui Su, Yang Liu, Xuping Zhou, Longqi Liu, Tong Wei, , Xun Xu

OrionGeno annotates over 5,300 eukaryotic genomes using a phylogeny-aware deep learning model, outperforming existing methods in gene and protein structure prediction.

bioRxiv · Aug 24, 2026 · PreprintBioinformatics

Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images

Bohan Zhang, Mei Li, Qiang Kang, Zhonghan Deng, Hua Qin, Kui Su, Xiuwen Feng, Lichuan Chen, Huanlin Liu, Shuangsang Fang, Yong Zhang, Yuxiang Li, Susanne Brix, Xun Xu

The paper updates a software tool to generate single-cell spatial gene expression profiles using cell boundary images from Stereo-seq data, showing improved performance on mouse liver and Arabidopsis seed datasets.

Gigabyte · Feb 19, 2024Peer-reviewedBioinformatics

Integrated Spatial Transcriptomic and Proteomic Analysis of Fresh Frozen Tissue Based on Stereo-seq

Sha Liao, Yang Heng, Weiqing Liu, Jinqiong Xiang, Yong Ma, Ligen Chen, Xiuwen Feng, Dongmei Jia, Diyan Liang, Caili Huang, Jiajun Zhang, Min Jian, Kui Su, Mei Li, Yuin‐Han Loh, , Xun Xu

Stereo-CITE-seq combines CITE-seq with Stereo-seq to simultaneously profile whole transcriptomes and protein markers on the same fresh-frozen tissue section.

bioRxiv · Apr 28, 2023 · PreprintMolecular Biology