To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clusterExperiment")

In most cases, you don't need to download the package archive at all.

clusterExperiment

 

   

Compare Clusterings for Single-Cell Sequencing

Bioconductor version: Release (3.5)

Provides functionality for running and comparing many different clusterings of single-cell sequencing data or other large mRNA Expression data sets.

Author: Elizabeth Purdom [aut, cre, cph], Davide Risso [aut], Marla Johnson [ctb]

Maintainer: Elizabeth Purdom <epurdom at stat.berkeley.edu>

Citation (from within R, enter citation("clusterExperiment")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clusterExperiment")

Documentation

HTML R Script clusterExperiment Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, RNASeq, Sequencing, SingleCell, Software
Version 1.2.0
In Bioconductor since BioC 3.4 (R-3.3) (0.5 years)
License Artistic-2.0
Depends R (>= 3.3), methods, SummarizedExperiment
Imports NMF, RColorBrewer, ape, phylobase, cluster, stats, limma, dendextend, howmany, locfdr, matrixStats, graphics, parallel, MAST
LinkingTo
Suggests BiocStyle, knitr, diagram, testthat, scRNAseq
SystemRequirements
Enhances
URL
BugReports https://github.com/epurdom/clusterExperiment/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source clusterExperiment_1.2.0.tar.gz
Windows Binary clusterExperiment_1.2.0.zip
Mac OS X 10.11 (El Capitan) clusterExperiment_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/clusterExperiment/tree/release-3.5
Package Short Url http://bioconductor.org/packages/clusterExperiment/
Package Downloads Report Download Stats

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