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Bioconductor - bluster

bluster

This is the released version of bluster; for the devel version, see bluster.

Clustering Algorithms for Bioconductor

Bioconductor version: Release (3.21)

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 "4.5") and enter:


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

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")
Details biocViews Clustering, GeneExpression, ImmunoOncology, SingleCell, Software, Transcriptomics Version 1.18.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 years) License GPL-3 Depends Imports stats, methods, utils, cluster, Matrix, Rcpp, igraph, S4Vectors, BiocParallel, BiocNeighbors System Requirements C++17 URL See More Suggests knitr, rmarkdown, testthat, BiocStyle, dynamicTreeCut, scRNAseq, scuttle, scater, scran, pheatmap, viridis, mbkmeans, kohonen, apcluster, DirichletMultinomial, vegan, fastcluster Linking To Rcpp, assorthead Enhances Depends On Me OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.multisample, OSCA.workflows, SingleRBook Imports Me chevreulProcess, clustSIGNAL, concordexR, dandelionR, epiregulon, mia, MPAC, poem, scDblFinder, scDiagnostics, scran, Voyager, Canek Suggests Me batchelor, ChromSCape, dittoSeq, mbkmeans, miaViz, MOSim, mumosa, SpatialDDLS, SuperCell Links To Me Build Report Build Report Package Archives

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

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