Topological Data Analysis of Spatial Protein Expression in Multiplexed Spatial Proteomics Studies

Abstract excerpt

Multiplexed spatial proteomics platforms generate high-resolution images capturing the spatial expression of proteins in tissue. Images are often fed through a complex pre-processing pipeline to identify individual cells (termed segmentation) and then to predict their phenotypes. It is common to test if the inferred spatial arrangement of cells associates with patient-level outcomes. However, cell segmentation and...

Topics

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• Algorithms
• Breast Cancer Treatment Studies
• Cluster Analysis
• Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
• Neural Networks, Computer
• Phenotype
• Single-Cell Analysis
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

578ff7b8-97c5-5eee-9e1f-5ae51df6632e

DOI

10.64898/2026.02.25.707521