Author

Sha Liao

BGI Group (China)ORCID 0009-0002-9358-5169Unclaimed ORCID profile · follow to get notified of new preprints

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Sha Liao1 paper

Biology Disciplines

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Bioinformatics· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 3 Assay:spatial transcriptomics· 3 Research Focus:benchmarking· 2 Research Focus:clustering· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Ao CheniD· 4 shared Can ShiiD· 3 shared Mei LiiD· 3 shared Jing GuoiD· 2 shared Jinghong FaniD· 2 shared Qiang KangiD· 2 shared Ying ZhangiD· 2 shared Chuandong LiuiD· 1 shared

Activity by Year

2024-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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4 shared papersBioinformatics

Ao ChenORCID

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4 papers

Recent·Most cited

CSRefiner: A lightweight framework for fine-tuning cell segmentation models with small datasets

Can Shi, Yumei Li, Jing Guo, Qiuling Chen, Tingting Cao, Sha Liao, Ao Chen, Mei Li, Ying Zhang

CSRefiner improves cell segmentation accuracy with small datasets by fine-tuning existing models for spatial transcriptomics.

Briefings in Bioinformatics · Dec 22, 2025Peer-reviewedBioinformatics

CellBin:a generalist framework to process spatial omics data to cell level

Ying Zhang, Huanlin Liu, Haoxiu Wang, Zirong Li, Yumei Li, Jidong Chen, Jinghong Fan, Ji Yi, Can Shi, Xinyu Ren, Qiang Kang, Yinqi Bai, Shuangsang Fang, Jing Guo, Heng Yang, , Mei Li

CellBin processes spatial omics data to create cell-level matrices, outperforming existing methods across multiple platforms and omics types.

bioRxiv · Oct 23, 2025 · PreprintBioinformatics

CellBinDB: A Large-Scale Multimodal Annotated Dataset for Cell Segmentation with Benchmarking of Universal Models

Can Shi, Jinghong Fan, Zhonghan Deng, Huanlin Liu, Qiang Kang, Yumei Li, Jing Guo, Jingwen Wang, Jinjiang Gong, Sha Liao, Ao Chen, Ying Zhang, Mei Li

CellBinDB provides a large-scale multimodal annotated dataset for cell segmentation and benchmarks seven state-of-the-art methods.

GigaScience · Jan 1, 2025Peer-reviewedCell Biology

SCIITensor: A tensor decomposition based algorithm to construct actionable TME modules with spatially resolved intercellular communications

Huaqiang Huang, Chuandong Liu, Xin Liu, Jingyi Tian, Feng Xi, Mei Li, Guibo Li, Ao Chen, Xun Xu, Sha Liao, Jiajun Zhang, Xing Liu

SCIITensor constructs actionable TME modules by analyzing spatially resolved intercellular communications in ST data, identifying immunosuppressive patterns and sample-common immune-infiltration modules.

bioRxiv · May 21, 2024 · PreprintBioinformatics