Quantitative characterization of cell niches in spatial atlases

Abstract excerpt

Spatial omics allow us to identify and analyze communities of cells coordinating specific functions within a tissue. While these communities, defined as cell niches, are fundamentally shaped by interactions between spatially neighboring cells, we lack computational frameworks that can leverage spatial omics data to quantitatively characterize niches based on cell interaction events. To address this, we introduce N...

Topics

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• B-Lymphocytes
• Colorectal Cancer Screening and Detection
• Endothelial Cells
• Lung
• Myeloid Cells
• Radiomics and Machine Learning in Medical Imaging
• Sequence Analysis, RNA
• Tumor Microenvironment

Identifiers and source

Literature Corpus work

6147e2ab-063a-56b9-830e-5032a9a621de

DOI

10.1101/2024.02.21.581428