Author

Kohei Sanno

Princeton UniversityORCID 0009-0001-4695-2993Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin J. RaphaeliD· 1 shared Brian J. Arnold· 1 shared Cong MaiD· 1 shared Hirak SarkariD· 1 shared Sereno L. Lopez-Darwin· 1 shared Uthsav ChitraiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperBioinformatics

Benjamin J. RaphaelORCID

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1 paper

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedJan 23, 2025

Mapping the topography of spatial gene expression with interpretable deep learning

Uthsav Chitra, Brian J. Arnold, Hirak Sarkar…·Benjamin J. Raphael

This paper introduces GASTON, an interpretable deep learning method to map spatial gene expression topography, identifying gradients and domains in spatial transcriptomics data.

62 citationstop 1%

humanspatial transcriptomics

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