Author

Liying Chen

University of Michigan

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Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Aaron M. UdageriD· 1 shared Allison Marie MayiD· 1 shared Evan T. KelleriD· 1 shared Satwik AcharyyaiD· 1 shared Veerabhadran BaladandayuthapaniiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperGenomics

Aaron M. UdagerORCID

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1 paper

Recent·Most cited

Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data

Liying Chen, Satwik Acharyya, Allison Marie May, Aaron M. Udager, Evan T. Keller, Veerabhadran Baladandayuthapani

This paper introduces a Bayesian multi-resolution spatial graphical regression framework to infer spatially varying gene networks from hierarchical spatial transcriptomics data, showing improved network recovery and identifying key regulatory hubs in kidney cancer.

bioRxiv · Jun 1, 2026 · PreprintGenomics