Author

Xiaoying Liu

Dartmouth CollegeORCID 0000-0002-0842-5252Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 3 Approach:deep learning· 3 Organism:human· 3 Research Focus:spatial domain detection· 3 Assay:spatial transcriptomics· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Adrienne A. WorkmaniD· 3 shared George J. ZanazziiD· 2 shared Liang Lu· 2 shared Louis Joseph VaickusiD· 2 shared Scott M. Palisoul· 2 shared Shrey SukhadiaiD· 2 shared Candice C. BlackiD· 1 shared Cassandra J Limoge· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersPathology

Adrienne A. WorkmanORCID

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3 papers

Recent·Most cited

PathologybioRxivPreprintApr 23, 2026

Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry

Vibha R Rao, Adrienne A. Workman, Scott M. Palisoul…·Shrey Sukhadia

XpressO-Lung predicts spatial gene expression patterns in lung adenocarcinoma using histopathology images, validated against immunohistochemistry, showing strong concordance with known morphologic features.

DOI 10.64898/2026.04.20.719723

humanbulk RNA-seq

𝕏 PostBluesky

PathologybioRxivPreprintFeb 11, 2026

X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer

V. Madhusudhan Rao, Madhumala K. Sadanandappa, Candice C. Black…·Shrey Sukhadia

X-SPATIO predicts and visualizes spatially resolved biomarker expression in TNBC by linking H&E morphology with spatial transcriptomic and proteomic data.

2 citations

humanspatial transcriptomics

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PathologybioRxivPreprintSep 17, 2025

Interpretable Deep Learning Reveals Biologically Relevant Spatial Gene Expression Patterns in Lung Tumors and their Microenvironment

Vibha R. Rao, Adrienne A. Workman, Liang Lu…·Shrey S. Sukhadia

XpressO-Lung predicts spatial gene expression patterns in LUAD tumors and their microenvironment from H&E images, achieving high accuracy and aligning with known biological interactions.

DOI 10.1101/2025.09.17.674367

humanbulk RNA-seq

𝕏 PostBluesky