DOI: 10.18129/B9.bioc.bluster    

This is the development version of bluster; to use it, please install the devel version of Bioconductor.

Clustering Algorithms for Bioconductor

Bioconductor version: Development (3.12)

Wraps common clustering algorithms in an easily extended S4 framework. Backends are implemented for hierarchical, k-means and graph-based clustering. Several utilities are also provided to compare and evaluate clustering results.

Author: Aaron Lun [aut, cre]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at>

Citation (from within R, enter citation("bluster")):


To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



HTML R Script 1. Clustering algorithms
HTML R Script 2. Clustering diagnostics
PDF   Reference Manual


biocViews Clustering, GeneExpression, ImmunoOncology, SingleCell, Software, Transcriptomics
Version 0.99.1
In Bioconductor since BioC 3.12 (R-4.0)
License GPL-3
Imports stats, methods, utils, Matrix, Rcpp, igraph, S4Vectors, BiocParallel, BiocNeighbors
LinkingTo Rcpp
Suggests knitr, rmarkdown, testthat, BiocStyle, dynamicTreeCut, scRNAseq, scuttle, scater, scran, pheatmap, viridis
SystemRequirements C++11
Depends On Me
Imports Me scran
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package bluster_0.99.1.tar.gz
Windows Binary
macOS 10.13 (High Sierra) bluster_0.99.1.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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