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jsPCA: fast, scalable, and interpretable identification of spatial domains and variable genes across multi-slice and multi-sample spatial transcriptomics data

Ines Assali et al.
HAL (France) · Papers
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machine-learningspatial-statisticsspatial-transcriptomics
Spatially structured cell heterogeneity within tissues is essential for healthy organ function. This heterogeneity is reflected by differential gene expression activity at various spatial location. Spatial transcriptomics technologies record genome-wide measurements of gene expression at the scale o
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