Author

Tianxiao Zhao

New York UniversityORCID 0000-0002-1591-3529Unclaimed 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-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adam L. HaberiD· 1 shared Arpan SarkariD· 1 shared Chee-Huat Linus Eng· 1 shared David FenyöiD· 1 shared Feng BaoiD· 1 shared Guo‐Cheng YuaniD· 1 shared Huipeng LiiD· 1 shared Kan LiuiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperSystems Biology

Adam L. HaberORCID

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3 papers

Recent·Most cited

Discovering paracrine regulators of cell type composition from spatial transcriptomics using SPER

Tianxiao Zhao, Adam L. Haber

This paper introduces SPER, a method to identify paracrine regulators of cell type composition from spatial transcriptomics data, showing it detects genes involved in extracellular secretion and receptor-ligand interactions.

Bioinformatics Advances · Jan 1, 2026Peer-reviewedSystems Biology

SimSpace: a comprehensive in-silico spatial omics data simulation and modeling framework

Tianxiao Zhao, Katherine Zhang, Michelle Hollenberg, Wen Hu Zhou, David Fenyö

SimSpace simulates spatial omics data to enable method development and benchmarking, reproducing spatial statistics and supporting deconvolution and gene detection evaluations.

bioRxiv · Jul 18, 2025 · PreprintBioinformatics

Giotto, a toolbox for integrative analysis and visualization of spatial expression data

Ruben Dries, Qian Zhu, Rui Dong, Chee-Huat Linus Eng, Huipeng Li, Kan Liu, Yuntian Fu, Tianxiao Zhao, Arpan Sarkar, Feng Bao, Rani E. George, Nico G Pierson, Long Cai, Guo‐Cheng Yuan

Giotto is a toolbox for analyzing and visualizing spatial transcriptomic and proteomic data, offering integration with single-cell RNA-seq and supporting diverse datasets.

Genome biology · Mar 8, 2021Peer-reviewedBioinformatics