Author

Jae Hee Jang

Agricultural Research ServiceORCID 0000-0003-0293-8361Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Organism:non-human primate· 1

Frequent Co-Authors

Ezekiel Jin Sung AhniD· 2 shared Insuck BaekiD· 2 shared Lyndel W. MeinhardtiD· 2 shared Seunghyun LimiD· 2 shared Sunchung ParkiD· 2 shared Amelia Helen LovelaceiD· 1 shared Clint MagilliD· 1 shared Dongho LeeiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenomics

Ezekiel Jin Sung AhnORCID

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2 papers

Recent·Most cited

GenomicsScientific ReportsPeer-reviewedMar 17, 2026

A GWAS-machine learning framework reveals protein-synthesis pathway signals for yield in Theobroma cacao after population-structure correction

Insuck Baek, Jishnu Bhatt, Seunghyun Lim…·Ezekiel Jin Sung Ahn

This study uses a GWAS and machine learning framework to identify genetic signals related to protein-synthesis pathways that influence cacao yield after correcting for population structure.

1 citation

non-human primateGWAS summary statistics

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MicrobiologybioRxivPreprintMay 21, 2025

Unveiling differential responses to UVB (305 nm) and UVC (275 nm) in cacao-infecting Colletotrichum gloeosporioides and Pestalotiopsis sp.

Insuck Baek, Jae Hee Jang, Seunghyun Lim…·Ezekiel Jin Sung Ahn

The paper investigates differential UVB and UVC responses in plant pathogenic fungi using hyperspectral imaging and machine learning, finding UVC more effective and Pestalotiopsis sp. more resistant than C. gloeosporioides.

2 citations

imagingmachine learning (classical)

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