coseq
This is the released version of coseq; for the devel version, see coseq.
Co-Expression Analysis of Sequencing Data
Bioconductor version: Release (3.23)
Co-expression analysis for expression profiles arising from high-throughput sequencing data. Feature (e.g., gene) profiles are clustered using adapted transformations and mixture models or a K-means algorithm, and model selection criteria (to choose an appropriate number of clusters) are provided.
Author: Andrea Rau [cre, aut] 
, Cathy Maugis-Rabusseau [ctb], Antoine Godichon-Baggioni [ctb]
Maintainer: Andrea Rau <andrea.rau at inrae.fr>
citation("coseq")):Andrea Rau. coseq: Co-Expression Analysis of Sequencing Data. doi:10.18129/B9.bioc.coseq, R package version 1.36.0, https://bioconductor.org/packages/coseq.
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("coseq")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("coseq")| coseq | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (9.5 years) |
| License | GPL-3 |
| Depends | R (>= 4.0.0), SummarizedExperiment, S4Vectors |
| Imports | edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2, scales, HTSFilter, corrplot, HTSCluster, grDevices, graphics, stats, methods, compositions, mvtnorm |
| System Requirements | |
| URL |
See More
| Suggests | Biobase, knitr, rmarkdown, testthat, BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | RFLOMICS |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | coseq_1.36.0.tar.gz |
| Windows Binary (x86_64) | coseq_1.35.0.zip |
| macOS Binary (big-sur-x86_64) | coseq_1.36.0.tgz |
| macOS Binary (sonoma-arm64) | coseq_1.36.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/coseq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/coseq |
| Package Short Url | https://bioconductor.org/packages/coseq/ |
| Package Downloads Report | Download Stats |