getSpatialPatterns: Identify spatial clusters
In JEFworks/MERingue: Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with non-uniform cellular densities
getSpatialPatterns R Documentation
Identify spatial clusters
Description
Identify spatially clustered genes using Moran's I
Usage
getSpatialPatterns(mat, weight, alternative = "greater", verbose = TRUE)
Arguments
mat
Gene expression matrix. Must be normalized such that correlations
will not be driven by technical artifacts.
weight
Spatial weights such as a weighted adjacency matrix
alternative
a character string specifying the alternative hypothesis,
must be one of "greater" (default), "two.sided" or "less".
verbose
Verbosity
JEFworks/MERingue documentation built on June 11, 2022, 4:16 a.m.
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| getSpatialPatterns | R Documentation |
Identify spatial clusters
Description
Identify spatially clustered genes using Moran's I
Usage
getSpatialPatterns(mat, weight, alternative = "greater", verbose = TRUE)
Arguments
mat |
Gene expression matrix. Must be normalized such that correlations will not be driven by technical artifacts. |
weight |
Spatial weights such as a weighted adjacency matrix |
alternative |
a character string specifying the alternative hypothesis, must be one of "greater" (default), "two.sided" or "less". |
verbose |
Verbosity |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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