Package: mascarade 0.4.1

Alexey Sergushichev

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.

Authors:Alexey Sergushichev [aut, cre]

mascarade_0.4.1.tar.gz
mascarade_0.4.1.tar.gz(r-4.7-arm64)mascarade_0.4.1.tar.gz(r-4.7-x86_64)mascarade_0.4.1.tar.gz(r-4.6-arm64)mascarade_0.4.1.tar.gz(r-4.6-x86_64)
mascarade_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
mascarade/json (API)

# Install 'mascarade' in R:
install.packages('mascarade', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alserglab/mascarade/issues

Pkgdown/docs site:https://alserglab.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

3.83 score 1 packages 16 scripts 546 downloads 4 exports 44 dependencies

Last updated from:936100fa30. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK267
linux-devel-x86_64OK291
source / vignettesOK418
linux-release-arm64OK266
linux-release-x86_64OK314
wasm-releaseOK231

Exports:fancyMaskgenerateMaskgenerateMaskSeuratgeom_mark_shape

Dependencies:abindbase64encBHclicpp11data.tabledeldirfarverggforceggplot2gluegoftestgtableisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixnlmepolyclippolylabelrR6RColorBrewerRcpprlangS7scalesspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssystemfontstensortidyselecttweenrvctrsviridisLitewithr

Gallery of mascarade-generaded masks
Loading necessary libraries | PBMC-3K UMAP | PBMC-3K t-SNE | Aya | Chia-Jung | Vladimir Shitov | Session info

Last update: 2026-07-22
Started: 2026-01-12

Using mascarade package
Package installation | Loading necessary libraries | Example run | Working with Seurat | Session info

Last update: 2026-07-22
Started: 2026-01-12