DOI: 10.18129/B9.bioc.mbkmeans  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see mbkmeans.

Mini-batch K-means Clustering for Single-Cell RNA-seq

Bioconductor version: 3.17

Implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.

Author: Yuwei Ni [aut, cph], Davide Risso [aut, cre, cph], Stephanie Hicks [aut, cph], Elizabeth Purdom [aut, cph]

Maintainer: Davide Risso <risso.davide at gmail.com>

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biocViews Clustering, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version 1.16.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 3.6)
Imports methods, DelayedArray, Rcpp, S4Vectors, SingleCellExperiment, SummarizedExperiment, ClusterR, benchmarkme, Matrix, BiocParallel
LinkingTo Rcpp, RcppArmadillo (>= 0.7.2), Rhdf5lib, beachmat, ClusterR
Suggests beachmat, HDF5Array, Rhdf5lib, BiocStyle, TENxPBMCData, scater, DelayedMatrixStats, bluster, knitr, testthat, rmarkdown
SystemRequirements C++11
BugReports https://github.com/drisso/mbkmeans/issues
Depends On Me OSCA.basic
Imports Me clusterExperiment
Suggests Me bluster, scDblFinder
Links To Me
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Source Package mbkmeans_1.16.0.tar.gz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mbkmeans
Bioc Package Browser https://code.bioconductor.org/browse/mbkmeans/
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