Author

Kaitian Jin

University of Pennsylvania

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 3

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 3 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Linghua WangiD· 3 shared Yunhe LiuiD· 3 shared Zihao Chen· 3 shared Amelia R. Schroeder· 2 shared Shunzhou JiangiD· 2 shared Tae Hyun HwangiD· 2 shared Xiaokang YuiD· 2 shared Xuyu QianiD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersGenomics

Linghua WangORCID

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3 papers

Recent·Most cited

Toward Computationally Complete Spatial Omics

Wei Li, Liran Mao, Yunhe Liu, Fuduan Peng, Nadja Sachs, Wenrui Wu, Stephanie Pei Tung Yiu, Hanying Yan, Amelia R. Schroeder, Xiaokang Yu, Kaitian Jin, Shunzhou Jiang, Zihao Chen, Melanie Loth, Lorena Isabel Gomez, , Ming Li

COSIE is a computational framework that integrates multiple spatial omics modalities to generate high-resolution molecular landscapes, outperforming existing methods across diverse datasets.

bioRxiv · Mar 5, 2026 · PreprintGenomics

Multiscale confidence quantification for virtual spatial transcriptomics with UTOPIA

Kaitian Jin, Zihao Chen, Xiaokang Yu, Musu Yuan, Amelia R. Schroeder, Bernhard Dumoulin, Yunhe Liu, Linghua Wang, Jeong Hwang Park, Tae Hyun Hwang, Katalin Suszták, Zhimei Ren, Nancy Ruonan Zhang, Mingyao Li

UTOPIA quantifies confidence in virtual spatial transcriptomics predictions across scales, improving reliability and preventing false conclusions.

bioRxiv · Mar 3, 2026 · PreprintGenomics

Reconstructing multi-scale tissue spatial architecture from single-cell RNA-seq with REMAP

Shunzhou Jiang, Kyle Coleman, Zihao Chen, Kaitian Jin, Yunhe Liu, Dong Heon Lee, Tae Hyun Hwang, Rui Xiao, Jin Jin, Christopher A. Walsh, Xuyu Qian, Linghua Wang, Mingyao Li

REMAP reconstructs spatial tissue architecture from scRNA-seq using deep learning and ST references, revealing microenvironmental features and cancer subtypes.

bioRxiv · Feb 22, 2026 · PreprintGenomics