Author

Patrick Haughey

North Carolina State UniversityORCID 0009-0001-0582-643XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1

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Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:spatial transcriptomics· 1 Research Focus:trajectory inference· 1

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Alyssa R. Wenzel· 1 shared Jason M. HaughiD· 1 shared John T. NardiniiD· 1 shared Kevin FloresiD· 1 shared Kyle NguyeniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperCell Biology

Alyssa R. Wenzel

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1 paper

Recent·Most cited

Cell BiologyPLoS Computational BiologyPeer-reviewedSep 25, 2026

Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data

Alyssa R. Wenzel, Patrick Haughey, Kyle Nguyen…·Kevin Flores

The paper introduces TOPAZ, a framework that uses topological data analysis and Bayesian methods to infer agent-based models from spatiotemporal cellular data, showing it can accurately recover model parameters and distinguish between models.

DOI 10.1371/journal.pcbi.1014801

spatial transcriptomicsdeep learning

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