Author

Yeong Deuk Jo

Chungnam National UniversityORCID 0000-0002-9018-7395Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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:machine learning (classical)· 1 Research Focus:software / tool· 1

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Minkyu ParkiD· 1 shared Woohyuk Choi· 1 shared Youngmin Oh· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Minkyu ParkORCID

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1 paper

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BioinformaticsbioRxivPreprintFeb 27, 2026

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.

DOI 10.64898/2026.02.25.707868

Arabidopsisbulk RNA-seq

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