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>
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) (6.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils |
| Imports | BiocGenerics |
| Linking To | |
| Suggests | BiocStyle |
| System Requirements | |
| Enhances | |
| URL |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| 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 |