Spatially Variable Genes Detection Methods for Spatial Transcriptomics

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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