Spartan: activation-aware framework for spatial domain and variable gene discovery

Abstract excerpt

Spatial transcriptomics is rapidly advancing toward single-cell-level resolution, revealing complex tissue architectures organized across continuous anatomical gradients. However, accurate identification of spatial domains remains a central computational challenge, as many existing clustering approaches blur anatomical boundaries, merge transitional zones, or fail to resolve localized microstructures. Here we intr...

Topics

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• Algorithms
• Biomarkers, Tumor
• Cluster Analysis
• Gene Expression Profiling
• Machine Learning
• Neoplasms
• Neural Networks, Computer
• Phenotype

Identifiers and source

Literature Corpus work

e52911ad-affb-53e6-90f9-bcdbb8a87667

DOI

10.64898/2026.02.18.706570