Author

Seokhyun Yoon

Dankook UniversityORCID 0000-0002-0464-2233Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Keunsoo KangiD· 2 shared Chul‐Su YangiD· 1 shared Daeseung KimiD· 1 shared Dawon HongiD· 1 shared Jaeyoung Chae· 1 shared Jong-chan Lee· 1 shared Joongho LeeiD· 1 shared Jucheol MooniD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Keunsoo KangORCID

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3 papers

Recent·Most cited

InferPloidy: A fast ploidy inference tool accurately classifies cells with abnormal CNVs in large single-cell RNA-seq datasets

Dawon Hong, Wonjung Sung, Jaeyoung Chae, Jucheol Moon, Jong-chan Lee, Sunjoo Jeong-Yu, Seokhyun Yoon

InferPloidy efficiently infers ploidy and classifies cells with abnormal CNVs in large single-cell RNA-seq datasets, achieving faster runtimes and accurate classification across multiple cancer types.

bioRxiv · Mar 13, 2025 · PreprintBioinformatics

Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing

Joongho Lee, Min‐Soo Kim, Keunsoo Kang, Chul‐Su Yang, Seokhyun Yoon

HiCAT improves immune cell subtype identification in single-cell RNA-seq by using a hierarchical marker-based approach, revealing new disease-related features in ulcerative colitis.

Briefings in Bioinformatics · Jan 2, 2023Peer-reviewedBioinformatics

TraRECo: A Greedy Approach based de novo Transcriptome Assembler with Read Error Correction using Consensus Matrix

Seokhyun Yoon, Daeseung Kim, Keunsoo Kang, Woong June Park

TraRECo improves de novo transcriptome assembly by using a greedy approach with error correction through consensus matrix construction, enhancing sensitivity and depth information quality.

BMC Genomics · Sep 4, 2018Peer-reviewedBioinformatics