PACE, Proximity-Associated Changes in Expression

Abstract excerpt

Cellular transcriptional states are shaped by local tissue context, yet quantifying how cellular gene expression varies with proximity to different cell types remains challenging. Cell-resolved spatial transcriptomics data are typically sparse and susceptible to contamination from neighbouring cells through diffusion, imperfect segmentation and cell overlap, making it difficult to distinguish genuine cell-state ch...

Topics

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• Biomarkers, Tumor
• Gene Expression Profiling
• Machine Learning
• Neoplasms
• Phenotype
• Psoriasis: Treatment and Pathogenesis
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

c7c31962-1be1-5807-8ffe-92ada63d6a7a

DOI

10.64898/2026.08.09.743800