Author

Junghan Oh

Samsung (South Korea)ORCID 0009-0005-5618-7964Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Hoyeon JeongiD· 2 shared Yoon‐La ChoiiD· 2 shared Donggeon LeeiD· 1 shared Jae Hwan KangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Hoyeon JeongORCID

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2 papers

Recent·Most cited

Bioinformaticsnpj Systems Biology and ApplicationsPeer-reviewedMay 29, 2026

GraphTME: a framework for predicting response to immune checkpoint inhibitors by interpreting cell-cell interactions in the tumour microenvironment using spatial transcriptomics of tumour tissue

Hoyeon Jeong, Junghan Oh, Yoon‐La Choi

GraphTME predicts immune checkpoint inhibitor response by analyzing spatial cell-cell interactions in tumor microenvironments using spatial transcriptomics data.

1 citation

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedJan 1, 2026

SHEST: Single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell type prediction and spatial transcriptomics reconstruction

Hoyeon Jeong, Junghan Oh, Donggeon Lee…·Yoon‐La Choi

SHEST predicts cell types and reconstructs spatial gene expression from histopathology images, achieving high accuracy in lung adenocarcinoma datasets.

2 citations

humanimaging

𝕏 PostBluesky