clustree
Visualise Clusterings at Different Resolutions
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.
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Description file content
- Package
- clustree
- Type
- Package
- Title
- Visualise Clusterings at Different Resolutions
- Version
- 0.2.2
- Date
- 2018-07-10
- Maintainer
- Luke Zappia
- Description
- 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.
- License
- GPL-3
- Encoding
- UTF-8
- LazyData
- true
- URL
- BugReports
- https://github.com/lazappi/clustree/issues
- VignetteBuilder
- knitr
- Depends
- R (>= 3.4), ggraph
- Imports
- checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang, tidygraph, ggrepel
- Suggests
- testthat, knitr, rmarkdown, SingleCellExperiment, Seurat, covr, SummarizedExperiment
- RoxygenNote
- 6.0.1
- NeedsCompilation
- no
- Packaged
- 2018-07-10 05:06:05 UTC; luke.zappia
- Author
- Luke Zappia [aut, cre] (), Alicia Oshlack [aut] (), Andrea Rau [ctb]
- Repository
- CRAN
- Date/Publication
- 2018-07-10 09:00:03 UTC
install.packages('clustree')
0.2.2
2 months ago
https://github.com/lazappi/clustree
Luke Zappia
GPL-3
Depends on
R (>= 3.4), ggraph
Imports
checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang, tidygraph, ggrepel
Suggests
testthat, knitr, rmarkdown, SingleCellExperiment, Seurat, covr, SummarizedExperiment