Author

Dabin Jeong

Seoul National UniversityORCID 0000-0001-9910-8051Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Adam R. BoxalliD· 1 shared Adib Miraki FeriziD· 1 shared Amirhossein VahidiiD· 1 shared Arpit MerchantiD· 1 shared Bonil KooiD· 1 shared Dohoon LeeiD· 1 shared Dorina ThanouiD· 1 shared Jeewon YangiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Adam R. BoxallORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 24, 2026

Fine-Grained and Reliable Cell Classification from Pathology Images

Sevda Öğüt, Arpit Merchant, Amirhossein Vahidi…·Mohammad Lotfollahi

CellBridge improves cell classification in pathology images by transferring molecular information, achieving higher accuracy on fine-grained labels.

DOI 10.64898/2026.10.20.760347

imagingcontrastive learning

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BioinformaticsACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)Peer-reviewedSep 3, 2023

Deep learning-based survival prediction using DNA methylation-derived 3D genomic information

Jeewon Yang, Dohoon Lee, Bonil Koo…·Sun Kim

This paper develops a method to predict cancer patient survival using 3D genome-aware features derived from DNA methylation data, showing improved accuracy across seven cancer types.

1 citation

humanDNA methylation

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