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Benchmarking spatial clustering methods with spatially resolved transcriptomics data - Nature Methods

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Benchmarking spatial clustering methods with spatially resolved transcriptomics data - Nature Methods

Spatial clustering, which shares an analogy with single-cell clustering, has expanded the scope of tissue physiology studies from cell-centroid to structure-centroid with spatially resolved transcriptomics (SRT) data. Computational methods have undergone remarkable development in recent years, but a comprehensive benchmark study is still lacking. Here we present a benchmark study of 13 computational methods on 34 SRT data (7 datasets).

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Benchmarking spatial clustering methods with spatially resolved transcriptomics data - Nature Methods

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Benchmarking spatial clustering methods with spatially resolved transcriptomics data - Nature Methods

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