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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install.packages('clustree')
0.2.2
7 months ago
https://github.com/lazappi/clustree
Luke Zappia
GPL-3
R (>= 3.4), ggraph
checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang, tidygraph, ggrepel
testthat, knitr, rmarkdown, SingleCellExperiment, Seurat, covr, SummarizedExperiment