clusterSeq

DOI: 10.18129/B9.bioc.clusterSeq  

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

Bioconductor version: Release (3.17)

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>

Installation

To install this package, start R (version "4.3") 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

PDF		Reference Manual

Details

biocViews	Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version	1.24.0
In Bioconductor since	BioC 3.5 (R-3.4) (6.5 years)
License	GPL-3
Depends	R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports	BiocGenerics
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Suggests	BiocStyle
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Build Report

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
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/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.17	Source Archive