signedLisaPlot: Signed LISA plot
In JEFworks/MERingue: Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with non-uniform cellular densities
signedLisaPlot R Documentation
Signed LISA plot
Description
Signed LISA plot
Usage
signedLisaPlot(gexp, pos, weight, zlim = c(-2, 2), ...)
Arguments
gexp
Feature value
pos
Position matrix
weight
Adjacency weight matrix
zlim
Range for expression (default = c(-2,2))
...
Additional plotting parameters
Value
signed LISA scores
Examples
data(mOB)
pos <- mOB$pos
gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE)['Camk4',]
W <- getSpatialNeighbors(pos)
signedLisaPlot(gexp, pos, W)
JEFworks/MERingue documentation built on June 11, 2022, 4:16 a.m.
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| signedLisaPlot | R Documentation |
Signed LISA plot
Description
Signed LISA plot
Usage
signedLisaPlot(gexp, pos, weight, zlim = c(-2, 2), ...)
Arguments
gexp |
Feature value |
pos |
Position matrix |
weight |
Adjacency weight matrix |
zlim |
Range for expression (default = c(-2,2)) |
... |
Additional plotting parameters |
Value
signed LISA scores
Examples
data(mOB) pos <- mOB$pos gexp <- normalizeCounts(mOB$counts, log=FALSE, verbose=FALSE)['Camk4',] W <- getSpatialNeighbors(pos) signedLisaPlot(gexp, pos, W)
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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