Package: mbkmeans 1.21.0
mbkmeans: Mini-batch K-means Clustering for Single-Cell RNA-seq
Implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.
Authors:
mbkmeans_1.21.0.tar.gz
mbkmeans_1.21.0.zip(r-4.5)mbkmeans_1.21.0.zip(r-4.4)mbkmeans_1.21.0.zip(r-4.3)
mbkmeans_1.21.0.tgz(r-4.4-arm64)mbkmeans_1.21.0.tgz(r-4.4-x86_64)mbkmeans_1.21.0.tgz(r-4.3-arm64)mbkmeans_1.21.0.tgz(r-4.3-x86_64)
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mbkmeans.pdf |mbkmeans.html✨
mbkmeans/json (API)
NEWS
# Install 'mbkmeans' in R: |
install.packages('mbkmeans', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/drisso/mbkmeans/issues
On BioConductor:mbkmeans-1.21.0(bioc 3.20)mbkmeans-1.20.0(bioc 3.19)
Last updated 2 months agofrom:8980ffa3a5
Exports:blocksizecompute_wcssmbkmeansMbkmeansParammini_batchpredict_mini_batchpredict_mini_batch_r
Dependencies:abindaskpassbeachmatbenchmarkmebenchmarkmeDataBHBiobaseBiocGenericsBiocParallelcliClusterRcodetoolscolorspacecpp11crayoncurlDelayedArraydoParalleldplyrfansifarverforeachformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegmpgtablehttrIRangesisobanditeratorsjsonlitelabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigR6RColorBrewerRcppRcppArmadilloRhdf5librlangS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraystringistringrSummarizedExperimentsystibbletidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
blocksize | blocksize |
Cluster rows of a matrix | clusterRows |
Compute Whithin-Cluster Sum of Squares | compute_wcss |
Mini-Batch k-means for large single cell sequencing data | mbkmeans mbkmeans,ANY-method mbkmeans,LinearEmbeddingMatrix-method mbkmeans,SingleCellExperiment-method mbkmeans,SummarizedExperiment-method |
Mini-batch k-means clustering | MbkmeansParam show,MbkmeansParam-method |
Mini_batch | mini_batch |
Predict_mini_batch | predict_mini_batch |
Compute labels for mini-batch k-means | predict_mini_batch_r |