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Spatial autocorrelation means that nearby spots in a tissue section tend to have similar values; Moran's I is the standard number for how strong that tendency is.
Moran's I is a measure of spatial autocorrelation, the correlation of a signal among nearby locations in space, developed by P. A. P. Moran (Wikipedia). Values near +1 mean neighbouring spots agree, near 0 no spatial pattern, and a permutation test gives the p-value. In spatial transcriptomics it is used to show that predicted risk, subtype or expression forms coherent domains rather than noise, and methods such as SpaGCN build the neighbourhood structure into clustering.
Showing the technology this term belongs to: Spatial transcriptomics.
Shares Permutation test and the Mann-Whitney U test, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Permutation test and the Mann-Whitney U test, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spatial transcriptomics, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spatially aware clustering (SpaGCN, KNN smoothing), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spatial transcriptomics platforms (Visium HD, Xenium, MERFISH, CosMx, CODEX), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.