clusterSeq

DOI: 10.18129/B9.bioc.clusterSeq    

Clustering of high-throughput sequencing data by identifying co-expression patterns

Bioconductor version: Release (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 and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("clusterSeq")

 

PDF R Script Advanced baySeq analyses
PDF   Reference Manual

Details

biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version 1.4.0
In Bioconductor since BioC 3.5 (R-3.4) (1.5 years)
License GPL-3
Depends R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports BiocGenerics
LinkingTo
Suggests BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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 http://bioconductor.org/packages/clusterSeq/
Package Downloads Report Download Stats

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