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clusterSeq

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


Bioconductor version: Release (3.18)

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 "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

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

browseVignettes("clusterSeq")
Advanced baySeq analyses PDF R Script
Reference Manual PDF

Details

biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version 1.26.0
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
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Package Archives

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

Source Package clusterSeq_1.26.0.tar.gz
Windows Binary clusterSeq_1.26.0.zip (64-bit only)
macOS Binary (x86_64) clusterSeq_1.26.0.tgz
macOS Binary (arm64) clusterSeq_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/clusterSeq
Bioc Package Browser https://code.bioconductor.org/browse/clusterSeq/
Package Short Url https://bioconductor.org/packages/clusterSeq/
Package Downloads Report Download Stats