Graph Fourier transform for spatial omics representation and analyses of complex organs

Abstract excerpt

<title>Abstract</title> <p>Spatial omics technologies are capable of deciphering detailed components of complex organs or tissue in cellular and subcellular resolution. A robust, interpretable, and unbiased representation method for spatial omics is necessary to illuminate novel investigations into biological functions, whereas a mathematical theory deficiency still exists. We present SpaGFT (Spatial Graph Fourie...

Topics

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• Algorithms
• Chemokine receptors and signaling
• Cluster Analysis
• Hematopoietic Stem Cell Transplantation
• Immune cells in cancer
• Neural Networks, Computer
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

d12eaa7e-2629-5543-9831-edc7556cd704

DOI

10.21203/rs.3.rs-3952048/v1