SpatialQuery: scalable discovery and molecular characterization of multicellular motifs from spatial omics data

Abstract excerpt

Spatially resolved single-cell technologies enable profiling of cells in situ , yet computational approaches that jointly discover multicellular spatial patterns and characterize their molecular programs remain limited. Here we introduce SpatialQuery, a framework that can both identify cellular motifs, i.e. recurrent multicellular co-localization patterns, and perform molecular analyses focused on the motifs. It...

Topics

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• Advanced Proteomics Techniques and Applications
• Algorithms
• Bioinformatics and Genomic Networks
• Cluster Analysis
• Neural Networks, Computer
• Phenotype
• Radiomics and Machine Learning in Medical Imaging
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

27546153-9404-56aa-a6c9-42392c6f877d

DOI

10.64898/2026.04.22.720136