clusterSeq
Clustering of high-throughput sequencing data by identifying co-expression patterns
Bioconductor version: Release (3.19)
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] 
Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>
Citation (from within R, enter
citation("clusterSeq")):
Installation
To install this package, start R (version "4.4") 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 | R Script | |
| Reference Manual |
Details
| biocViews | Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software |
| Version | 1.28.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (7.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils |
| Imports | BiocGenerics |
| System Requirements | |
| URL | https://github.com/samgg/clusterSeq |
| Bug Reports | https://github.com/samgg/clusterSeq/issues |
See More
| Suggests | BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | clusterSeq_1.28.0.tar.gz |
| Windows Binary (x86_64) | clusterSeq_1.28.0.zip (64-bit only) |
| macOS Binary (x86_64) | clusterSeq_1.28.0.tgz |
| macOS Binary (arm64) | clusterSeq_1.28.0.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 |