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.


Reference manual

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0.2.2 by Luke Zappia, 2 months ago

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Authors: Luke Zappia [aut, cre] (<>), Alicia Oshlack [aut] (<>), 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