Rotation-invariance is essential for accurate detection of spatially variable genes in spatial transcriptomics
Haohao Su and
Yuehua Cui ()
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Haohao Su: Michigan State University
Yuehua Cui: Michigan State University
Nature Communications, 2025, vol. 16, issue 1, 1-5
Abstract:
In spatial transcriptomics, tissue samples are randomly positioned. Rotation-sensitive methods can lead to unreliable spatially variable gene (SVG) detection. We highlight their inherent technical pitfalls and discuss strategies for rotation-invariant methods, enhancing the robustness of SVG detection.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62574-4
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DOI: 10.1038/s41467-025-62574-4
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