Author

Lin Zhong

Southern Methodist UniversityORCID 0000-0002-7896-9650Unclaimed ORCID profile · follow to get notified of new preprints

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lin zhong1 paper · Hunan Normal University

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Guanghua XiaoiD· 2 shared Qiwei LiiD· 2 shared Bo LiiD· 1 shared Jiayi WangiD· 1 shared Lei GuoiD· 1 shared Lin XuiD· 1 shared Siyuan ZhangiD· 1 shared Xi JiangiD· 1 shared

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2026-2026 · peak 2/yr

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2 shared papersBioinformatics

Guanghua XiaoORCID

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2 papers

Recent·Most cited

BioinformaticsJCI InsightPeer-reviewedMay 7, 2026

Computational Identification of Migrating T cells in Spatial Transcriptomics Data

Lin Zhong, Bo Li, Zhikai Chi…·Guanghua Xiao

This study introduces ReMiTT, a computational method to identify T cell migration trails in spatial transcriptomics data, revealing chemokine trends and enriched pathways associated with T cell movement in tumors.

2 citations

humanspatial transcriptomics

𝕏 PostBluesky

GenomicsBriefings in BioinformaticsPeer-reviewedMar 1, 2026

SpaFun: Discovering Domain-specific Spatial Expression Patterns and New Disease-Relevant Genes using Functional Principal Component Analysis

Xi Jiang, Yanghong Guo, Lei Guo…·Lin Xu

SpaFun identifies domain-representative genes in spatial transcriptomics data using functional principal component analysis, outperforming existing methods in accuracy and efficiency.

DOI 10.1093/bib/bbag150

spatial transcriptomicsstatistical model

𝕏 PostBluesky