Characterizing Tissue Structures from Spatial Omics with Spatial Cellular Graph Partition

Abstract excerpt

Spatial transcriptomic and proteomic measurements enable high-dimensional characterization of tissues. However, understanding organizations of cells at different spatial scales and extracting tissue structures of interest remain challenging tasks that require extensive human annotations. To address this need for consistent identification of tissue structures, in this work, we present a novel annotation method Spat...

Topics

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• Algorithms
• Cluster Analysis
• Neural Networks, Computer
• Phenotype

Identifiers and source

Literature Corpus work

e887ebd2-cf26-5b2e-881e-c25b67e16b5e

DOI

10.1101/2023.09.05.556133