Author

Sukwon Yun

University of North Carolina at Chapel HillORCID 0000-0002-5186-6563Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Chanyoung ParkiD· 1 shared Jie PengiD· 1 shared Namkyeong LeeiD· 1 shared Tianlong CheniD· 1 shared Yanyong ZhangiD· 1 shared Zunpeng LiuiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Chanyoung ParkORCID

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1 paper

Recent·Most cited

scMoE: single-cell Multi-Modal Multi-Task Learning via Sparse Mixture-of-Experts

Sukwon Yun, Jie Peng, Namkyeong Lee, Yanyong Zhang, Chanyoung Park, Zunpeng Liu, Tianlong Chen

scMoE introduces a framework for multi-modal, multi-task single-cell learning that addresses optimization conflicts and interpretability challenges through Sparse Mixture-of-Experts and activation vectors.

bioRxiv · Nov 12, 2024 · PreprintBioinformatics