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clusterSeq

This is the released version of clusterSeq; for the devel version, see clusterSeq.

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3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

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

DOI: 10.18129/B9.bioc.clusterSeq

Bioconductor version: Release (3.23)

Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.

Author: Thomas J. Hardcastle [aut], Irene Papatheodorou [aut], Samuel Granjeaud [cre] ORCID: 0000-0001-9245-1535

Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>

Citation (from within R, enter citation("clusterSeq")):

Thomas J. Hardcastle, Irene Papatheodorou. clusterSeq: Clustering of high-throughput sequencing data by identifying co-expression patterns. doi:10.18129/B9.bioc.clusterSeq, R package version 1.36.0, https://bioconductor.org/packages/clusterSeq.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")

Details

Package Archives

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