Author

Xiaojie Jin

The Ohio State UniversityORCID 0000-0003-2789-0923Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Qin MaiD· 2 shared Alex K. ShalekiD· 1 shared Ana C. Ricardo· 1 shared Ankit Basak· 1 shared Baochun ZhangiD· 1 shared Berkay ŞímșekiD· 1 shared Bo ZhaoiD· 1 shared Bokai ZhuiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Qin MaORCID

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Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 10, 2026

spaCraft: calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics

Jungmin Shin, Juan Xie, Xiaojie Jin…·Dongjun Chung

spaCraft provides calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics by integrating domain recovery and clustering uncertainty.

DOI 10.64898/2026.09.04.749534

spatial transcriptomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 10, 2026

A Principled Statistical Framework for Analyzing Spatial Patterns in Spatially Resolved Multi-Omics

Jinpu Li, Mauminah Raina, Yiqing Wang…·Dong Xu

This paper introduces STORM, a statistical framework for analyzing spatial patterns in multi-omics data, demonstrating reliable performance in detecting spatial structures and supporting study design decisions.

DOI 10.64898/2026.08.04.742894

spatial transcriptomicsproteomics

𝕏 PostBluesky

Systems BiologybioRxivPreprintDec 20, 2024

Same-Slide Spatial Multi-Omics Integration Reveals Tumor Virus-Linked Spatial Reorganization of the Tumor Microenvironment

Yao Yu Yeo, Yuzhou Chang, Huaying Qiu…·Sizun Jiang

This paper introduces IN-DEPTH and SGCC for spatial multi-omics analysis, revealing EBV-related immunomodulatory differences in DLBCL.

12 citations

humanspatial transcriptomics

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