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Benchmarking Active Spot Selection for Cost-Efficient Spatial Transcriptomics
Spatial transcriptomics (ST) measures gene expression in tissue context, but dense capture grids can be costly and may repeatedly sample morphologically similar regions. Most active learning strategies were developed for categorical labels and independent samples. We conduct a retrospective pool-bas
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