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DESCRIPTION
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DESCRIPTION
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Package: clusterExperiment
Title: Compare Clusterings for Single-Cell Sequencing
Version: 2.23.4
Description: Provides functionality for running and comparing many
different clusterings of single-cell sequencing data or other large mRNA Expression data sets.
Authors@R: c(person("Elizabeth", "Purdom", email = "[email protected]",
role = c("aut", "cre", "cph")),
person("Davide","Risso", role = "aut",email = "[email protected]"))
BugReports: https://github.com/epurdom/clusterExperiment/issues
License: Artistic-2.0
Encoding: UTF-8
Depends:
R (>= 3.6.0),
SingleCellExperiment,
SummarizedExperiment (>= 1.15.4),
BiocGenerics
Imports:
methods,
NMF,
RColorBrewer,
ape (>= 5.0),
cluster,
stats,
limma,
locfdr,
matrixStats,
graphics,
parallel,
BiocSingular,
kernlab,
stringr,
S4Vectors,
grDevices,
DelayedArray (>= 0.7.48),
HDF5Array (>= 1.7.10),
Matrix,
Rcpp,
edgeR,
scales,
zinbwave,
phylobase,
pracma,
mbkmeans
Suggests:
BiocStyle,
knitr,
testthat,
MAST,
Rtsne,
scran,
igraph,
rmarkdown
VignetteBuilder: knitr
LazyData: false
LazyLoad: false
RoxygenNote: 7.3.1
biocViews: Clustering, RNASeq, Sequencing, Software, SingleCell
Collate:
'AllChecks.R'
'AllClassesCE.R'
'AllClassesCF.R'
'AllGenerics.R'
'AllHelper.R'
'AllHelperClusterFunction.R'
'AllHelperDendro.R'
'AllHelperFilter.R'
'JiashinJiCode.R'
'RcppExports.R'
'addClusterings.R'
'assignUnassigned.R'
'subsampleClustering.R'
'internalDendroFunctions.R'
'internalClusterFunctions.R'
'internalFunctions.R'
'builtInClusterFunctions.R'
'clusterContrasts.R'
'clusterMany.R'
'clusterSingle.R'
'dataCreation.R'
'deprecateFunctions.R'
'getClusterIndex.R'
'getFeatures.R'
'getParams.R'
'getReducedData.R'
'mainClustering.R'
'makeBlankData.R'
'makeConsensus.R'
'makeDendrogram.R'
'makeFilterStats.R'
'makeReducedDims.R'
'mergeClusters.R'
'plotBarplot.R'
'plotClusters.R'
'plotClustersTable.R'
'plotClustersWorkflow.R'
'plotContrastHeatmap.R'
'plotDendrogram.R'
'plotFeatureBoxplot.R'
'plotFeatureScatter.R'
'plotHeatmap.R'
'plotReduceDim.R'
'plottingHelpers.R'
'rsec.R'
'seqCluster.R'
'subsampleLoop.R'
'subset.R'
'transformFunction.R'
'updateObject.R'
'workflowClusters.R'
LinkingTo: Rcpp