bluster
This is the released version of bluster; for the devel version, see bluster.
Clustering Algorithms for Bioconductor
Bioconductor version: Release (3.20)
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 | 1.16.0 |
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++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.intro, OSCA.workflows, SingleRBook |
Imports Me | MPAC, Voyager, concordexR, epiregulon, mia, scDblFinder, scDiagnostics, scran, Canek |
Suggests Me | ChromSCape, MOSim, batchelor, 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_1.16.0.tar.gz |
Windows Binary (x86_64) | bluster_1.16.0.zip |
macOS Binary (x86_64) | bluster_1.16.0.tgz |
macOS Binary (arm64) | bluster_1.16.0.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 |