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")):

To install this package, start R and enter:

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

HTML	R Script	clusterExperiment Vignette
PDF		Reference Manual
Text		NEWS

biocViews	Clustering, RNASeq, Sequencing, SingleCell, Software
Version	1.2.0
In Bioconductor since	BioC 3.4 (R-3.3) (1 year)
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

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

Source Package	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
Source Repository	git clone https://git.bioconductor.org/packages/clusterExperiment
Package Short Url	http://bioconductor.org/packages/clusterExperiment/
Package Downloads Report	Download Stats

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