Author

Seongoh Park

Sungshin Women's UniversityORCID 0000-0002-8510-839XUnclaimed 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:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Dong Hyun KimiD· 1 shared Hao ZhuiD· 1 shared James J. ZhuiD· 1 shared Nguyen Phuoc LongiD· 1 shared Nguyen Quang Thu· 1 shared Nguyen Tran Nam TieniD· 1 shared Tao WangiD· 1 shared Tianshi LuiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

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10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Dong Hyun KimORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Proteome ResearchPeer-reviewedMar 7, 2025

EasyPubPlot: a shiny web application for rapid omics data exploration and visualization

Nguyen Tran Nam Tien, Nguyen Quang Thu, Dong Hyun Kim…·Nguyen Phuoc Long

EasyPubPlot is a user-friendly Shiny web app and R package that simplifies omics data visualization, generating publishable plots with minimal steps.

10 citations

metabolomicsbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 1, 2020

Overcoming Genetic Drop-outs in Variants-based Lineage Tracing from Single-cell RNA Sequencing Data

Tianshi Lu, Seongoh Park, James J. Zhu…·Tao Wang

This paper develops SClineger, a Bayesian model to correct genetic drop-outs in scRNA-Seq data for accurate lineage tracing across tissues and time scales.

1 citation

𝕏 PostBluesky