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Data-Adaptive Grassmann Manifold Representations for Spatial Transcriptomics Alignment

Wang, Xiang Xiang et al.
arXiv (OAI Expanded) · Papers
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algebraic-geometry
Spatial transcriptomics measures gene expression together with spatial coordinates, but many existing analysis methods represent each spot primarily by a single feature vector. We propose GrassST, a subspace method for spatial transcriptomics analysis and cross-slice alignment. For each spatial spot
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