Author

Youngmin Oh

Sangmyung University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jun IzawaiD· 1 shared Kangwoo Lee· 1 shared Minkyu ParkiD· 1 shared Nicolas SchweighoferiD· 1 shared Woohyuk Choi· 1 shared Yeong Deuk JoiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Jun IzawaORCID

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2 papers

Recent·Most cited

AbiOmics: An End-to-End Pipeline to Train Machine Learning Models for Discrimination of Plant Abiotic Stresses Using Transcriptomic Profiling Data

Minkyu Park, Youngmin Oh, Woohyuk Choi, Yeong Deuk Jo

AbiOmics trains a machine learning model to discriminate plant abiotic stresses using transcriptomic data, achieving high accuracy in identifying stress types and combinations.

bioRxiv · Feb 27, 2026 · PreprintBioinformatics

Sensory prediction errors, not performance errors, update memories in visuomotor adaptation

Kangwoo Lee, Youngmin Oh, Jun Izawa, Nicolas Schweighofer

The paper shows that sensory prediction errors, not performance errors, update the stable component of motor memory during visuomotor adaptation.

Scientific Reports · Nov 1, 2018Peer-reviewedNeuroscience