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SIMO: Spatial Integration of Multi-Omics single-cell datasets through probabilistic alignment

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SIMO is an advanced Python package designed for the spatial integration of multi-omics data from single-cell datasets, utilizing probabilistic alignment techniques to accurately depict single-cell maps and reconstruct the spatial distribution of various biological molecules, thereby providing crucial insights into the complex multimodal heterogeneity and topological patterns of cells essential for advancing spatial biology.

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