A set of tools for evaluating clustering similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables data-wide assessment of clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), which can be used to infer the optimal number of clusters in the data.
| Version: | 0.1.1 |
| Imports: | ggplot2, dplyr, fastcluster, rlang, Matrix, igraph, magrittr, Rcpp, methods, stats |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, e1071, dbscan, dendextend, Seurat |
| Published: | 2021-03-31 |
| Author: | Arash Shahsavari [aut, cre], Irina Mohorianu [aut] |
| Maintainer: | Arash Shahsavari <as3006 at cam.ac.uk> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Core-Bioinformatics/ClustAssess |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | ClustAssess results |
| Reference manual: | ClustAssess.pdf |
| Vignettes: |
Evaluating single-cell clustering with ClustAssess Comparing soft and hierarchical clusterings with element-centric similarity |
| Package source: | ClustAssess_0.1.1.tar.gz |
| Windows binaries: | r-devel: ClustAssess_0.1.1.zip, r-devel-UCRT: ClustAssess_0.1.1.zip, r-release: ClustAssess_0.1.1.zip, r-oldrel: ClustAssess_0.1.1.zip |
| macOS binaries: | r-release (arm64): ClustAssess_0.1.1.tgz, r-release (x86_64): ClustAssess_0.1.1.tgz, r-oldrel: ClustAssess_0.1.1.tgz |
| Old sources: | ClustAssess archive |
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