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bluster

This is the development version of bluster; for the stable release version, see bluster.

Clustering Algorithms for Bioconductor

Bioconductor version: Development (3.18)

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], Stephanie Hicks [ctb], Basil Courbayre [ctb], Tuomas Borman [ctb], Leo Lahti [ctb]

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

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

Installation

To install this package, start R (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("bluster")

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

Documentation

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

browseVignettes("bluster")
1. Clustering algorithms HTML R Script
2. Clustering diagnostics HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, GeneExpression, ImmunoOncology, SingleCell, Software, Transcriptomics
Version 1.11.4
In Bioconductor since BioC 3.12 (R-4.0) (3 years)
License GPL-3
Depends
Imports stats, methods, utils, cluster, Matrix, Rcpp, igraph, S4Vectors, BiocParallel, BiocNeighbors
Linking To Rcpp
Suggests knitr, rmarkdown, testthat, BiocStyle, dynamicTreeCut, scRNAseq, scuttle, scater, scran, pheatmap, viridis, mbkmeans, kohonen, apcluster, DirichletMultinomial, vegan, fastcluster
System Requirements C++11
Enhances
URL
See More
Depends On Me OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.multisample, OSCA.workflows
Imports Me mia, scDblFinder, scran, Voyager
Suggests Me batchelor, ChromSCape, concordexR, dittoSeq, mbkmeans, mumosa
Links To Me
Build Report  

Package Archives

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

Source Package bluster_1.11.4.tar.gz
Windows Binary bluster_1.11.4.zip
macOS Binary (x86_64) bluster_1.11.4.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/bluster
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/bluster
Bioc Package Browser https://code.bioconductor.org/browse/bluster/
Package Short Url https://bioconductor.org/packages/bluster/
Package Downloads Report Download Stats