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: |
0.5.0 |
| 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: |
2022-06-25 |
| 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 |