spatialCrossCorMatrix: Calculates a spatial cross correlation for all pairs
In JEFworks/MERingue: Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with non-uniform cellular densities
View source: R/correlationStatistics.R
spatialCrossCorMatrix R Documentation
Calculates a spatial cross correlation for all pairs
Description
Calculates a spatial cross correlation for all pairs
Usage
spatialCrossCorMatrix(mat, weight)
Arguments
mat
Matrix of feature values
weight
Adjacency weight matrix
Value
Matrix of spatial cross correlationf or all pairs
Examples
data(mOB)
pos <- mOB$pos
weight <- getSpatialNeighbors(pos)
gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE)
sccMat <- spatialCrossCorMatrix(gexp[1:5,], weight)
JEFworks/MERingue documentation built on June 11, 2022, 4:16 a.m.
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View source: R/correlationStatistics.R
| spatialCrossCorMatrix | R Documentation |
Calculates a spatial cross correlation for all pairs
Description
Calculates a spatial cross correlation for all pairs
Usage
spatialCrossCorMatrix(mat, weight)
Arguments
mat |
Matrix of feature values |
weight |
Adjacency weight matrix |
Value
Matrix of spatial cross correlationf or all pairs
Examples
data(mOB) pos <- mOB$pos weight <- getSpatialNeighbors(pos) gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE) sccMat <- spatialCrossCorMatrix(gexp[1:5,], weight)
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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