SpatialZoomer: multi-scale feature analysis of spatial transcriptomics

Abstract excerpt

Single-cell resolution spatial transcriptomics (ST) provides a great opportunity to explore the complex cellular contents in different tissues. In this study, we introduce SpatialZoomer, a spectral graph-based method that applies a set of low-pass filters to efficiently extract spatial molecular features from ST data at multiple resolutions or scales, including the single cell scale, the niche scale with dozens of...

Topics

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• Algorithms
• Gene Expression Profiling
• Microscopy
• Neoplasms
• Phenotype
• Single-cell and spatial transcriptomics
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

33729931-7e1a-572f-8da4-fb8e4022a852

DOI

10.1101/2025.09.08.674870