coseq
Co-Expression Analysis of Sequencing Data
Bioconductor version: Release (3.20)
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")
):
Installation
To install this package, start R (version "4.4") 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 | 1.30.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (7.5 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 | |
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 | coseq_1.30.0.tar.gz |
Windows Binary (x86_64) | coseq_1.30.0.zip |
macOS Binary (x86_64) | coseq_1.30.0.tgz |
macOS Binary (arm64) | coseq_1.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/coseq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/coseq |
Bioc Package Browser | https://code.bioconductor.org/browse/coseq/ |
Package Short Url | https://bioconductor.org/packages/coseq/ |
Package Downloads Report | Download Stats |