Capturing and modeling cellular niches from dissociated single-cell and spatial data

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Cells interact with their local environment to enact global tissue function. By harnessing gene–gene covariation in cellular neighborhoods from spatial transcriptomics data, the covariance


environment (COVET) niche representation and the environmental variational inference (ENVI) data integration method model phenotype–microenvironment interplay and reconstruct the spatial


context of dissociated single-cell RNA sequencing datasets. Access through your institution Buy or subscribe This is a preview of subscription content, access via your institution ACCESS


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FAQs * Contact customer support REFERENCES * Moses, L. & Pachter, L. Museum of spatial transcriptomics. _Nat. Methods_ 19, 534–546 (2022). A REVIEW ARTICLE THAT COVERS RECENT


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Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. THIS IS A SUMMARY OF: Haviv, D. et al. The covariance environment defines


cellular niches for spatial inference. _Nat. Biotechnol_. https://doi.org/10.1038/s41587-024-02193-4 (2024) RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS


ARTICLE Capturing and modeling cellular niches from dissociated single-cell and spatial data. _Nat Biotechnol_ 43, 179–180 (2025). https://doi.org/10.1038/s41587-024-02207-1 Download


citation * Published: 02 April 2024 * Issue Date: February 2025 * DOI: https://doi.org/10.1038/s41587-024-02207-1 SHARE THIS ARTICLE Anyone you share the following link with will be able to


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