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ClustAssess: Tools for Assessing Clustering

A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as 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 stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.

Version: 0.3.0
Imports: ggplot2, dplyr, fastcluster, rlang, Matrix, igraph, magrittr, Rcpp, methods, stats, foreach, doParallel, irlba, progress, reshape2, stringr, uwot
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, e1071, dbscan, dendextend, Seurat, readr, patchwork
Published: 2022-01-26
DOI: 10.32614/CRAN.package.ClustAssess
Author: Arash Shahsavari [aut, cre], Andi Munteanu [aut], Irina Mohorianu [aut]
Maintainer: Arash Shahsavari <as3006 at cam.ac.uk>
BugReports: https://github.com/Core-Bioinformatics/ClustAssess/issues
License: MIT + file LICENSE
URL: https://github.com/Core-Bioinformatics/ClustAssess
NeedsCompilation: yes
Materials: README
CRAN checks: ClustAssess results

Documentation:

Reference manual: ClustAssess.pdf
Vignettes: Evaluating single-cell clustering with ClustAssess
Comparing soft and hierarchical clusterings with element-centric similarity

Downloads:

Package source: ClustAssess_0.3.0.tar.gz
Windows binaries: r-devel: ClustAssess_0.3.0.zip, r-release: ClustAssess_0.3.0.zip, r-oldrel: ClustAssess_0.3.0.zip
macOS binaries: r-release (arm64): ClustAssess_0.3.0.tgz, r-oldrel (arm64): ClustAssess_0.3.0.tgz, r-release (x86_64): ClustAssess_0.3.0.tgz, r-oldrel (x86_64): ClustAssess_0.3.0.tgz
Old sources: ClustAssess archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ClustAssess to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.