R: Spatially Variable Genes Detection Methods for Spatial Transcriptomics

# Spatially Variable Genes Detection Methods for Spatial Transcriptomics

## Documentation for package ‘SVG’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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