Author

Kyeong Joo Jung

The Ohio State UniversityORCID 0000-0002-0582-1583Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:spatial transcriptomics· 3 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Dongjun ChungiD· 3 shared Chrystal M. ChadwickiD· 2 shared Elizabeth McDonoughiD· 2 shared Fiona GintyiD· 2 shared James D. BrooksiD· 2 shared Parag MallickiD· 2 shared Raghu MachirajuiD· 2 shared Robert B. WestiD· 2 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Dongjun ChungORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 19, 2026

Multi-Scale Tri-Modal Histology Dataset Integrating Tumor Morphology, Immune Patterns, and Clinical Outcomes

Kyeong Joo Jung, Jianwei Qiu, Sanghee Cho…·Parag Mallick

Prostate-TriMod integrates visual morphology, spatial tissue maps, and clinical outcomes for prostate cancer to enable multimodal AI research.

1 citation

Cancer BiologybioRxivPreprintNov 9, 2025

Annotation-Free Prediction of Cancer Cells and Glands and Spatial Analysis of Immune Cells.

Kyeong Joo Jung, Soumya Ghose, Sanghee Cho…·Parag Mallick

The paper develops TOPAZ, a tool that predicts cancerous cells/glands and analyzes immune cell spatial relationships in prostate cancer, finding that immune cell distance from cancer glands correlates with recurrence risk.

1 citation

humanspatial transcriptomics

BioinformaticsbioRxivPreprintMay 1, 2025

A Gentle Introduction to Spatial Transcriptomic Analysis with 10X Visium Data

Jessica L. Gillespie, Juan Xie, Kyeong Joo Jung…·Dongjun Chung

This paper introduces foundational steps for analyzing spatial transcriptomic data from 10X Visium, focusing on clustering, spatially variable gene discovery, and cell-cell communication.

1 citation

spatial transcriptomicsstatistical model

BioinformaticsbioRxivPreprintApr 11, 2022

Analysis of community connectivity in spatial transcriptomics data

Carter Allen, Kyeong Joo Jung, Yuzhou Chang…·Dongjun Chung

The paper introduces BANYAN, a Bayesian model for analyzing community connectivity in spatial transcriptomics data, revealing cell interactions in tumor microenvironments and adipose tissue.

1 citation