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.

Version: 0.1.2
Depends: R (≥ 3.4), ggraph
Imports: checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang
Suggests: testthat, knitr, rmarkdown, SingleCellExperiment, Seurat, covr
Published: 2018-04-20
Author: Luke Zappia ORCID iD [aut, cre], Alicia Oshlack ORCID iD [aut], Andrea Rau [ctb]
Maintainer: Luke Zappia <luke.zappia at mcri.edu.au>
BugReports: https://github.com/lazappi/clustree/issues
License: MIT + file LICENSE
URL: https://github.com/lazappi/clustree
NeedsCompilation: no
Citation: clustree citation info
Materials: README NEWS
CRAN checks: clustree results

Downloads:

Reference manual: clustree.pdf
Vignettes: Plotting clustering trees
Package source: clustree_0.1.2.tar.gz
Windows binaries: r-devel: clustree_0.1.2.zip, r-release: clustree_0.1.2.zip, r-oldrel: not available
OS X binaries: r-release: not available, r-oldrel: not available
Old sources: clustree archive

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