OT-knn: a neighborhood-aware optimal transport framework for aligning spatial transcriptomics data

Abstract excerpt

Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues, enabling detailed characterization of tissue organization. As ST technologies advance, aligning datasets across tissue sections, individuals, platforms, and developmental stages has become increasingly important but remains challenging due to sparse expression, biological heterogeneity, and geometric distortions...

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• Cell Image Analysis Techniques
• Ferroptosis and cancer prognosis
• Gene expression and cancer classification
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

5715ed4a-95a5-5ca2-8fab-0f91c573791a

DOI

10.64898/2026.02.19.706743