Spatially Variable Genes Detection Methods for Spatial
Transcriptomics
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Documentation for package ‘SVG’ version 1.0.0
Help Pages
| ACAT_combine | ACAT: Aggregated Cauchy Association Test |
| binarize_expression | Binarize Gene Expression |
| buildSpatialNetwork | Build Spatial Neighborhood Network |
| CalSVG | Unified Interface for SVG Detection |
| CalSVG_binSpect | binSpect: Binary Spatial Enrichment Test for SVG Detection |
| CalSVG_MarkVario | Detect SVGs using Mark Variogram Method |
| CalSVG_MERINGUE | MERINGUE: Moran's I based Spatially Variable Gene Detection |
| CalSVG_nnSVG | nnSVG: Nearest-Neighbor Gaussian Process SVG Detection |
| CalSVG_Seurat | Seurat-style SVG Detection Methods |
| CalSVG_SPARKX | SPARK-X: Non-parametric Kernel-based SVG Detection |
| data_simulation | Simulate Spatial Transcriptomics Data with Known SVGs |
| example_svg_data | Example Spatial Transcriptomics Data |
| getSpatialNeighbors_Delaunay | Build Spatial Network via Delaunay Triangulation |
| getSpatialNeighbors_KNN | Build Spatial Network via K-Nearest Neighbors |
| moranI | Calculate Moran's I Statistic |
| moranI_test | Moran's I Test for Spatial Autocorrelation |
| simulate_spatial_data | Simulate Spatial Transcriptomics Data |
| utils_spatial | Spatial Network Utilities |
| utils_stats | Statistical Utilities for SVG Detection |