Author

Dae-won Gong

Lunenfeld-Tanenbaum Research Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Kieran R. CampbelliD· 1 shared Michael J. GeuenichiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Kieran R. CampbellORCID

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1 paper

Recent·Most cited

The impacts of active and self-supervised learning on efficient annotation of single-cell expression data

Michael J. Geuenich, Dae-won Gong, Kieran R. Campbell

This paper benchmarks active and self-supervised learning strategies for single-cell data annotation, showing benefits in handling cell type imbalance and demonstrating marker-aware heuristics improve accuracy.

Nature Communications · Feb 2, 2024Peer-reviewedBioinformatics