clustree: Visualise Clusterings at Different Resolutions (original) (raw)
Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
| Version: | 0.5.1 |
|---|---|
| Depends: | R (≥ 3.5), ggraph |
| Imports: | checkmate, igraph, dplyr, grid, ggplot2 (≥ 3.4.0), viridis, methods, rlang, tidygraph, ggrepel |
| Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, SingleCellExperiment, Seurat (≥ 2.3.0), covr, SummarizedExperiment, pkgdown, spelling |
| Published: | 2023-11-05 |
| DOI: | 10.32614/CRAN.package.clustree |
| Author: | Luke Zappia  [aut, cre], Alicia Oshlack [aut], Andrea Rau [ctb], Paul Hoffman [ctb] |
| Maintainer: | Luke Zappia |
| BugReports: | https://github.com/lazappi/clustree/issues |
| License: | GPL-3 |
| URL: | https://github.com/lazappi/clustree,https://lazappi.github.io/clustree/ |
| NeedsCompilation: | no |
| Language: | en-GB |
| Citation: | clustree citation info |
| Materials: | README NEWS |
| CRAN checks: | clustree results |
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