Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE11 OK, 2 NOTE2026-08-01
- ERROR10 OK, 3 ERROR2026-07-09
- OK14 OK2026-04-10
- ERROR13 OK, 1 ERROR2026-04-09
Show 5 earlier changesHide 5 earlier changes
- OK14 OK2026-03-28
- ERROR12 OK, 2 ERROR2026-03-25
- OK14 OK2026-03-24
- ERROR12 OK, 2 ERROR2026-03-22
- OK14 OK2026-03-10
Documentation
- Help pages
- 17 (11 internal)
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 80%
- Median days to close, 50 most recently updated closed issues
- 30
- Median days to close, 50 most recently updated closed PRs
- 0
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7 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/alserglab/mascarade on 2026-10-21.
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GitHub Pages site last deployed 2026-09-11 · The repository has a site deploy workflow
pkgdown site last built 2026-09-11
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- Claude Codefirst seen 2026-07-21Commits: at least 4 crediting it in the message
- Claude Opus 4.84 commits · Jul 2026
Dependencies
Installing mascarade adds 40 packages (26 with compiled code, 44 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2026-01-12
- Total releases
- 9 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 121 KB / 2 files
- Download size
- 1.8 MB
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