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Benchmarking spatial and single-cell transcriptomics integration methods

Tangram, gimVI and SpaGE outperformed other integration methods for predicting the spatial distributions of RNA transcripts, while Cell2location, SpatialDWLS and RCTD were the top-performing methods for the cell type deconvolution of spots in histological sections.

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Fig. 1: Benchmarking workflow and integration method performance.

References

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This is a summary of: Li, B. et al. Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution. Nat. Methods https://doi.org/10.1038/s41592-022-01480-9 (2022).

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Benchmarking spatial and single-cell transcriptomics integration methods. Nat Methods 19, 656–657 (2022). https://doi.org/10.1038/s41592-022-01481-8

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