Author

Yoon-La Choi

Sungkyunkwan Universtiy School of Medicine;Primary ORCID profile (0000-0002-5788-5140 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Yoon-La ChoiiD1 paper

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Donggeon Lee· 1 shared Eunae Sandra Cho· 1 shared Hanjae Lee· 1 shared Heetak LeeiD· 1 shared Hyeon-Min KimiD· 1 shared Jeongbin ParkiD· 1 shared Jong-Il KimiD· 1 shared Junseong Bae· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Donggeon Lee

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1 paper

Recent·Most cited

Agentic AI enables cell segmentation-free cell-type inference and cell-type-guided cell segmentation in spatial transcriptomics

Yuhui Jeong, Hanjae Lee, Donggeon Lee, Hyeon-Min Kim, So-Hui Kim, Suhyeon Park, Junseong Bae, Eunae Sandra Cho, Yoon-La Choi, Ohsang Kwon, Jong-Il Kim, Heetak Lee, Jeongbin Park

This paper introduces SSAF-T, a segmentation-free framework for cell-type inference in spatial transcriptomics that avoids cell segmentation and enables accurate cell-type-guided segmentation.

bioRxiv · Nov 6, 2026 · PreprintBioinformatics