bluster
Clustering Algorithms for Bioconductor
Bioconductor version: Release (3.19)
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("bluster")):
      
    Installation
To install this package, start R (version "4.4") 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")| 1. Clustering algorithms | HTML | R Script | 
| 2. Clustering diagnostics | HTML | R Script | 
| Reference Manual | ||
| NEWS | Text | 
Details
| biocViews | Clustering, GeneExpression, ImmunoOncology, SingleCell, Software, Transcriptomics | 
| Version | 1.14.0 | 
| In Bioconductor since | BioC 3.12 (R-4.0) (4 years) | 
| License | GPL-3 | 
| Depends | |
| Imports | stats, methods, utils, cluster, Matrix, Rcpp, igraph, S4Vectors, BiocParallel, BiocNeighbors | 
| System Requirements | C++11 | 
| URL | 
See More
| Suggests | knitr, rmarkdown, testthat, BiocStyle, dynamicTreeCut, scRNAseq, scuttle, scater, scran, pheatmap, viridis, mbkmeans, kohonen, apcluster, DirichletMultinomial, vegan, fastcluster | 
| Linking To | Rcpp | 
| Enhances | |
| Depends On Me | OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.multisample, OSCA.workflows, SingleRBook | 
| Imports Me | Voyager, epiregulon, mia, scDblFinder, scran, Canek | 
| Suggests Me | ChromSCape, MOSim, batchelor, concordexR, dittoSeq, mbkmeans, miaViz, mumosa, SpatialDDLS, SuperCell | 
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | bluster_1.14.0.tar.gz | 
| Windows Binary (x86_64) | bluster_1.14.0.zip | 
| macOS Binary (x86_64) | bluster_1.14.0.tgz | 
| macOS Binary (arm64) | bluster_1.14.0.tgz | 
| 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 |