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.


Reference manual

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install.packages("mascarade")

0.4.3 by Alexey Sergushichev, 2 months ago


https://alserglab.github.io/mascarade/


Report a bug at https://github.com/alserglab/mascarade/issues


Browse source code at https://github.com/cran/mascarade


Authors: Alexey Sergushichev [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports data.table, spatstat.geom, spatstat.explore, lifecycle, ggplot2, polyclip, polylabelr, ggforce, vctrs, rlang, cli, systemfonts, Rcpp

Suggests testthat, rmarkdown, knitr, patchwork, Seurat, scales, SeuratObject, svglite, colorrepel

Linking to Rcpp, BH


Imported by colorrepel.


See at CRAN