lisaTest: Local indicators of spatial association
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
lisaTest R Documentation
Local indicators of spatial association
Description
Local indicators of spatial association
Usage
lisaTest(x, weight, alternative = "greater")
Arguments
x
Feature value
weight
Adjacency weight matrix
alternative
"two.sided", "less", or "greater"
Value
Data frame of observed, expected, standard deviation, and p-value for each point
Examples
data(mOB)
pos <- mOB$pos
weight <- getSpatialNeighbors(pos)
gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE)['Camk4',]
lisa <- lisaTest(gexp, weight)
JEFworks/MERingue documentation built on June 11, 2022, 4:16 a.m.
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View source: R/correlationStatistics.R
| lisaTest | R Documentation |
Local indicators of spatial association
Description
Local indicators of spatial association
Usage
lisaTest(x, weight, alternative = "greater")
Arguments
x |
Feature value |
weight |
Adjacency weight matrix |
alternative |
"two.sided", "less", or "greater" |
Value
Data frame of observed, expected, standard deviation, and p-value for each point
Examples
data(mOB) pos <- mOB$pos weight <- getSpatialNeighbors(pos) gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE)['Camk4',] lisa <- lisaTest(gexp, 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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