[aut,
cre],
Alicia Oshlack
[aut],
Andrea Rau [ctb],
Paul Hoffman
[ctb]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: | 0.4.3 |
| Depends: | R (≥ 3.5), ggraph |
| Imports: | checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang, tidygraph, ggrepel |
| Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, SingleCellExperiment, Seurat (≥ 2.3.0), covr, SummarizedExperiment, pkgdown, spelling |
| Published: | 2020-06-14 |
| Author: | Luke Zappia [aut,
cre],
Alicia Oshlack
[aut],
Andrea Rau [ctb],
Paul Hoffman
[ctb] |
| Maintainer: | Luke Zappia <luke at lazappi.id.au> |
| BugReports: | https://github.com/lazappi/clustree/issues |
| License: | GPL-3 |
| URL: | https://github.com/lazappi/clustree |
| NeedsCompilation: | no |
| Language: | en-GB |
| Citation: | clustree citation info |
| Materials: | README NEWS |
| CRAN checks: | clustree results |
| Reference manual: | clustree.pdf |
| Vignettes: |
Plotting clustering trees |
| Package source: | clustree_0.4.3.tar.gz |
| Windows binaries: | r-devel: clustree_0.4.3.zip, r-release: clustree_0.4.3.zip, r-oldrel: clustree_0.4.3.zip |
| macOS binaries: | r-release: clustree_0.4.3.tgz, r-oldrel: clustree_0.4.3.tgz |
| Old sources: | clustree archive |
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