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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Reference manual

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install.packages("clustree")

0.2.2 by Luke Zappia, 2 months ago


https://github.com/lazappi/clustree


Report a bug at https://github.com/lazappi/clustree/issues


Browse source code at https://github.com/cran/clustree


Authors: Luke Zappia [aut, cre] (<https://orcid.org/0000-0001-7744-8565>), Alicia Oshlack [aut] (<https://orcid.org/0000-0001-9788-5690>), Andrea Rau [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang, tidygraph, ggrepel

Depends on ggraph

Suggests testthat, knitr, rmarkdown, SingleCellExperiment, Seurat, covr, SummarizedExperiment


See at CRAN