Author

Donghyun Park

Samsung Medical CenterORCID 0000-0002-7946-6924Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Donghyun Park1 paper · Yale University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Boram LeeiD· 1 shared Daeun RyuiD· 1 shared Dayoung Go· 1 shared Goeun ParkiD· 1 shared Hyun‐Tae ShiniD· 1 shared Jae Won YuniD· 1 shared Jin-Ho KimiD· 1 shared Joon Seol Bae· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Boram LeeORCID

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2 papers

Recent·Most cited

Transcription factors overcome the repressive impact of Polycomb-associated methylation in tumors

Min-Kyeong Kwon, Goeun Park, Dayoung Go, Donghyun Park, Sridhar S. Hannenhalli, Sun Shim Choi

The paper maps promoter methylation and gene expression changes in colorectal cancer, showing that Polycomb-associated promoters resist methylation-driven repression, particularly for transcription factor genes.

bioRxiv · May 15, 2025 · PreprintBioinformatics

JuLI: accurate detection of DNA fusions in clinical sequencing for precision oncology

Hyun‐Tae Shin, Nayoung K. D. Kim, Jae Won Yun, Boram Lee, Sungkyu Kyung, Ki-Wook Lee, Daeun Ryu, Jin-Ho Kim, Joon Seol Bae, Donghyun Park, Yoon‐La Choi, Se‐Hoon Lee, Myung‐Ju Ahn, Keunchil Park, Woong‐Yang Park

JuLI improves DNA fusion detection in clinical sequencing by reducing false positives and increasing sensitivity, outperforming existing methods in high-depth sequencing.

Journal of Molecular Diagnostics · Dec 24, 2019Peer-reviewedBioinformatics