Author

Hyunju Lee

Gwangju Institute of Science and TechnologyORCID 0000-0003-2389-7183Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Da‐Woon JungiD· 1 shared Darren R. WilliamsiD· 1 shared Hyun‐Jun KimiD· 1 shared Sang Hoon LeeiD· 1 shared Seon-Wook Kim· 1 shared Sung‐Hye ParkiD· 1 shared Yeonghun LeeiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperCell Biology

Da‐Woon JungORCID

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2 papers

Recent·Most cited

Cell BiologyEMBO Molecular MedicinePeer-reviewedApr 22, 2025

Targeting phosphatase DUSP22 ameliorates skeletal muscle wasting via Akt independent JNK-FOXO3a repression

Sang Hoon Lee, Hyun‐Jun Kim, Seon-Wook Kim…·Darren R. Williams

This study identifies DUSP22 as a novel target for preventing skeletal muscle wasting by repressing the JNK-FOXO3a pathway independently of Akt.

7 citations

humanexperimental assay

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BioinformaticsbioRxivPreprintAug 2, 2022

Prediction of the 3D cancer genome from genomic rearrangements using InfoHiC

Yeonghun Lee, Sung‐Hye Park, Hyunju Lee

This paper introduces InfoHiC, a method to predict 3D cancer genome folding from genomic rearrangements, identifying functional impacts of non-coding rearrangements in breast and medulloblastoma cancers.

DOI 10.1101/2022.08.02.502462

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