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: 0.5.1 Depends: R (≥ 3.5), ggraph Imports: checkmate, igraph, dplyr, grid, ggplot2 (≥ 3.4.0), viridis, methods, rlang, tidygraph, ggrepel Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, SingleCellExperiment, Seurat (≥ 2.3.0), covr, SummarizedExperiment, pkgdown, spelling Published: 2023-11-05 DOI: 10.32614/CRAN.package.clustree Author: Luke Zappia [aut, cre], Alicia Oshlack [aut], Andrea Rau [ctb], Paul Hoffman [ctb] Maintainer: Luke Zappia <luke at lazappi.id.au> BugReports: https://github.com/lazappi/clustree/issues License: GPL-3 URL: https://github.com/lazappi/clustree, https://lazappi.github.io/clustree/ NeedsCompilation: no Language: en-GB Citation: clustree citation info Materials: README NEWS CRAN checks: clustree resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4