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clusterSeq
This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see clusterSeq.
Clustering of high-throughput sequencing data by identifying co-expression patterns
Bioconductor version: 3.7
Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.
Author: Thomas J. Hardcastle & Irene Papatheodorou
Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>
Citation (from within R, enter
citation("clusterSeq")):
Installation
To install this package, start R (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clusterSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("clusterSeq")
Reference Manual
PDF
Details
biocViews
Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version
1.4.0
In Bioconductor since
BioC 3.5 (R-3.4) (7 years)
License
GPL-3
Depends
R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports
BiocGenerics
System Requirements
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Follow Installation instructions to use this package in your R session.
Source Package
clusterSeq_1.4.0.tar.gz
Windows Binary
clusterSeq_1.4.0.zip
Mac OS X 10.11 (El Capitan)
clusterSeq_1.4.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/clusterSeq
Package Short Url
https://bioconductor.org/packages/clusterSeq/
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