Author

Yanghong Guo

The University of Texas at Dallas

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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Bioinformatics· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 3 Approach:statistical model· 3 Approach:Bayesian inference· 2 Research Focus:differential expression· 2 Research Focus:spatial domain detection· 2 Research Focus:batch correction / integration· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Q. Y. LiiD· 4 shared Lin XuiD· 3 shared Guanghua XiaoiD· 2 shared Ying MaiD· 2 shared Bencong Zhu· 1 shared Chen TangiD· 1 shared Jiayi WangiD· 1 shared Lei GuoiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersBioinformatics

Q. Y. LiORCID

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4 papers

Recent·Most cited

Spatial Gene Set Enrichment Analysis with Applications to Spatially Resolved Transcriptomic Data

Zizhao Xie, Yanghong Guo, Q. Y. Li, Ying Ma

spaGSE improves pathway enrichment analysis in spatial transcriptomics by incorporating spatial dependence, identifying biologically relevant pathways in cancer and developmental tissues.

bioRxiv · Jun 4, 2026 · PreprintBioinformatics

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

Xi Jiang, Yanghong Guo, Lei Guo, Lin Zhong, Jiayi Wang, Guanghua Xiao, Qiwei Li, Lin Xu

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

Briefings in Bioinformatics · Mar 1, 2026Peer-reviewedGenomics

A Regularized Bayesian Dirichlet-multinomial Regression Model for Integrating Single-cell-level Omics and Patient-level Clinical Study Data

Yanghong Guo, Lei Yu, Lei Ming Guo, Lin Xu, Qiwei Li

This study introduces a Bayesian Dirichlet-multinomial regression model to integrate single-cell RNA sequencing data with clinical variables, uncovering cell-type-specific associations across three diseases.

Biometrics · Jan 7, 2025Peer-reviewedBioinformatics

BayeSMART: Bayesian Clustering of Multi-sample Spatially Resolved Transcriptomics Data

Yanghong Guo, Bencong Zhu, Chen Tang, Ruichen Rong, Ying Ma, Guanghua Xiao, Lin Xu, Qiwei Li

BayeSMART improves multi-sample spatial clustering by integrating AI-reconstructed single-cell data with spatial context, outperforming existing methods in accuracy and efficiency.

Briefings in Bioinformatics · Sep 23, 2024Peer-reviewedBioinformatics