clusterSeq
This package is for version 3.17 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: 3.17
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>
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
Reference Manual |
Details
biocViews | Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software |
Version | 1.24.0 |
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 | |
URL |
See More
Suggests | BiocStyle |
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Build Report | 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 |