spatialCrossCor: Calculates spatial cross correlation for two features
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
spatialCrossCor R Documentation
Calculates spatial cross correlation for two features
Description
Calculates spatial cross correlation for two features
Usage
spatialCrossCor(x, y, weight)
Arguments
x
Feature 1 value
y
Feature 2 value
weight
Adjacency weight matrix
Value
Spatial cross correlation statistic
Examples
data(mOB)
pos <- mOB$pos
weight <- getSpatialNeighbors(pos)
gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE)
scc <- spatialCrossCor(gexp[1,], gexp[2,], weight)
JEFworks/MERingue documentation built on June 11, 2022, 4:16 a.m.
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View source: R/correlationStatistics.R
| spatialCrossCor | R Documentation |
Calculates spatial cross correlation for two features
Description
Calculates spatial cross correlation for two features
Usage
spatialCrossCor(x, y, weight)
Arguments
x |
Feature 1 value |
y |
Feature 2 value |
weight |
Adjacency weight matrix |
Value
Spatial cross correlation statistic
Examples
data(mOB) pos <- mOB$pos weight <- getSpatialNeighbors(pos) gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE) scc <- spatialCrossCor(gexp[1,], gexp[2,], 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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