Kontextual: Reframing analysis of spatial omics data reveals consistent cell relationships across images

Abstract excerpt

State-of-the-art spatial proteomic and transcriptomic technologies can deeply pheno-type cells in their native tissue environment, providing a high throughput means to effectively quantify spatial relationships between diverse cell populations. However, the experimental design choice of which regions of a tissue will be imaged can greatly impact the interpretation of spatial quantifications. That is, spatial relat...

Topics

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• Advanced Proteomics Techniques and Applications
• Algorithms
• Bioinformatics and Genomic Networks
• Gene Expression Profiling
• Phenotype
• Single-cell and spatial transcriptomics
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

b4d2696b-df42-5787-97f5-7d670574e110

DOI

10.1101/2024.09.03.611109