CalSVG() function
provides a single entry point for all SVG detection methodsCalSVG_MERINGUE(): Moran’s I with binary spatial
networkCalSVG_Seurat(): Moran’s I with inverse distance
weightsCalSVG_binSpect(): Binary spatial enrichment test
(Giotto)CalSVG_SPARKX(): Non-parametric kernel-based testCalSVG_nnSVG(): Nearest-neighbor Gaussian
processesCalSVG_MarkVario(): Mark variogram methodbuildSpatialNetwork(): Build spatial neighborhood
networks using Delaunay triangulation or KNNgetSpatialNeighbors_Delaunay(): Delaunay
triangulation-based networkgetSpatialNeighbors_KNN(): K-nearest neighbors
networkmoranI(): Calculate Moran’s I statisticmoranI_test(): Hypothesis testing for spatial
autocorrelationACAT_combine(): Aggregated Cauchy Association Test for
p-value combinationbinarize_expression(): Multiple methods for expression
binarizationsimulate_spatial_data(): Generate simulated spatial
transcriptomics data with known SVGsn_threads
parameter
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