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mascarade: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots

Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.

Version: 0.3.0
Depends: R (≥ 3.5)
Imports: data.table, spatstat.geom, spatstat.explore, lifecycle, ggplot2, scales, polyclip, ggforce, vctrs, rlang, cli, systemfonts
Suggests: testthat (≥ 3.0.0), rmarkdown, knitr, patchwork, ggnewscale, ggsci, Seurat, SeuratObject
Published: 2026-01-12
DOI: 10.32614/CRAN.package.mascarade
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox at gmail.com>
BugReports: https://github.com/alserglab/mascarade/issues
License: MIT + file LICENSE
URL: https://alserglab.github.io/mascarade/
NeedsCompilation: no
Materials: NEWS
CRAN checks: mascarade results

Documentation:

Reference manual: mascarade.html , mascarade.pdf
Vignettes: Gallery of mascarade-generaded masks (source, R code)
Using mascarade package (source, R code)

Downloads:

Package source: mascarade_0.3.0.tar.gz
Windows binaries: r-devel: mascarade_0.3.0.zip, r-release: mascarade_0.3.0.zip, r-oldrel: mascarade_0.3.0.zip
macOS binaries: r-release (arm64): mascarade_0.3.0.tgz, r-oldrel (arm64): mascarade_0.3.0.tgz, r-release (x86_64): mascarade_0.3.0.tgz, r-oldrel (x86_64): mascarade_0.3.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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