Spatial omics representation and functional tissue module inference using graph Fourier transform

Abstract excerpt

Tissue module (TM) is a spatially organized tissue region and executes specialized biological functions, recurring and varying at different tissue sites. However, the computational identification of TMs poses challenges due to their convoluted biological functions, poorly-defined molecular features, and varying spatially organized patterns. Here, we present a hypothesis-free graph Fourier transform model, SpaGFT,...

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

6455e954-f902-5e61-aa3c-ae4cff329e87

DOI

10.1101/2022.12.10.519929