Author

Sagnik Bhadury

University of MichiganORCID 0009-0003-2966-0678Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:Bayesian inference· 2 Research Focus:cell-cell communication· 2 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Arvind Rao· 2 shared Arvind RaoiD· 1 shared Jeremy GaskinsiD· 1 shared Timothy L. FrankeliD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

4 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Arvind Rao

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 15, 2026

Cellular proximity and conditional coordination in the colorectal and pancreatic tumor microenvironment: a patient-level analysis of multiplexed imaging

Sagnik Bhadury, Timothy L. Frankel, Arvind Rao

The paper analyzes spatial organization of immune and epithelial cells in colorectal and pancreatic cancers using multiplexed imaging, finding differences in conditional coordination and proximity between disease subtypes.

DOI 10.64898/2026.10.08.757632

humanimaging

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedSep 28, 2026

Estimating conditional cell population associations across tumor density trajectory in three dimensional tissue images

Sagnik Bhadury, Arvind Rao

The paper introduces ISPat-3D to estimate conditional cell population associations in 3D tissue images, finding stable associations in colorectal cancer but less stable in breast cancer.

1 citation

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintApr 5, 2026

Spatially Varying Graphical Models for Cell-Cell Interaction Networks in Multiplexed Tissue Imaging

Sagnik Bhadury, Jeremy Gaskins, Arvind Rao

This paper introduces GP-GHS, a Bayesian method for inferring spatially varying cell-cell interaction networks from multiplexed tissue imaging data, identifying differentially active edges in colorectal cancer.

1 citation

humanspatial transcriptomics

𝕏 PostBluesky