Author

Gaeun Byeon

Korea UniversityORCID 0009-0000-6586-9290Unclaimed 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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Approach:deep learning· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:perturbation response prediction· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Hayoon ParkiD· 2 shared Joon‐Yong AniD· 2 shared Daekee LeeiD· 1 shared Donna M. WerlingiD· 1 shared Eunhyong Chang· 1 shared Eunjoon KimiD· 1 shared Guiyoung BongiD· 1 shared Hee Jeong YooiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Hayoon ParkORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 3, 2026

AnnFlux: object-conditioned neural stochastic differential equations for single-cell perturbation dynamics

Heesun Choi, Gaeun Byeon, Hayoon Park…·Joon‐Yong An

AnnFlux models single-cell perturbation dynamics using object-conditioned neural SDEs, predicting responses to unseen perturbations and combinations.

2 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 26, 2026

AI-driven framework modeling perturbation in brain organoids reveals candidate genes for autism

In Gyeong Koh, Eunhyong Chang, Young Seok Choi…·Joon‐Yong An

The paper uses an AI-driven framework to model perturbations in brain organoids and identifies candidate genes for autism using genomic and clinical data.

2 citations

𝕏 PostBluesky