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Package: lisaClust
Type: Package
Title: lisaClust: Clustering of Local Indicators of Spatial Association
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Version: 1.17.0
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Authors@R: c(
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person("Ellis", "Patrick", , "[email protected]", role = c("aut", "cre")),
person("Nicolas", "Canete", , "[email protected]", role = "aut"),
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person("Nicholas", "Robertson", , "[email protected]", role = "ctb"),
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person("Alex", "Qin", , "[email protected]", role = "ctb"),
person("Shreya", "Rao", "[email protected]", role = "ctb")
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)
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Description: lisaClust provides a series of functions to identify and visualise
regions of tissue where spatial associations between cell-types is similar.
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This package can be used to provide a high-level summary of cell-type
colocalization in multiplexed imaging data that has been segmented at a
single-cell resolution.
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License: GPL (>=2)
biocViews:
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SingleCell, CellBasedAssays, Spatial
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Encoding: UTF-8
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Depends: R (>= 4.0)
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VignetteBuilder: knitr
BugReports: https://github.com/ellispatrick/lisaClust/issues
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URL: https://ellispatrick.github.io/lisaClust/, https://github.com/ellispatrick/lisaClust
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Imports:
ggplot2,
class,
concaveman,
grid,
BiocParallel,
spatstat.explore,
spatstat.geom,
BiocGenerics,
S4Vectors,
methods,
spicyR,
purrr,
stats,
data.table,
dplyr,
tidyr,
SingleCellExperiment,
SpatialExperiment,
SummarizedExperiment,
pheatmap,
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spatstat.random,
lifecycle,
simpleSeg,
rlang,
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Suggests:
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SpatialDatasets,
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BiocStyle,
knitr,
rmarkdown,
testthat (>= 3.0.0)
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RoxygenNote: 7.3.2
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Config/testthat/edition: 3
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