Author

Yejin Lee

Gyeongsang National UniversityORCID 0000-0003-1257-9067Unclaimed ORCID profile · follow to get notified of new preprints

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Yejin Lee1 paper · Harvard University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:large language model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Joo-Seok Park· 2 shared Yang Jae KangiD· 2 shared Suyeon Ha· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Joo-Seok Park

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 23, 2026

EES-Transformer: A Dual-Path Transformer for Tissue Classification and Gene Representation Learning from Extreme Expression Sets

Joo-Seok Park, Yejin Lee, Yang Jae Kang

EES-Transformer V2 classifies tissues and learns gene representations from extreme expression sets, achieving high accuracy and revealing tissue-specific gene interactions.

DOI 10.64898/2026.02.22.707241

Arabidopsisbulk RNA-seq

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BioinformaticsDatabasePeer-reviewedJan 1, 2026

GeneReL: A Large Language Model-Powered Platform for Gene Regulatory Relationship Extraction with Community Curation

Joo-Seok Park, Suyeon Ha, Yejin Lee, Yang Jae Kang

GeneReL extracts and curates gene regulatory relationships from literature using LLMs and community validation, providing a database of 13,710 interactions in Arabidopsis thaliana.

DOI 10.1093/database/baag062

Arabidopsislarge language model

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