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SpatialFinder is a 3.5 MB dataset containing a framework that combines a biomedical vision-language model with a human-in-the-loop pipeline to predict gene expression heterogeneity from H&E tissue slides. It was authored by Jonathan Xu and last updated on April 15, 2026. The framework was evaluated across four Visium HD tissue types, achieving performance metrics like Spearman’s ρ up to 0.89.
The primary file format is a ZIP archive; contents require inspection to determine specific data formats and required software.