To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("coseq")
    In most cases, you don't need to download the package archive at all.
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    Bioconductor version: Release (3.5)
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, Cathy Maugis-Rabusseau, Antoine Godichon-Baggioni
Maintainer: Andrea Rau <andrea.rau at jouy.inra.fr>
Citation (from within R,
      enter citation("coseq")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("coseq")
    | HTML | R Script | coseq | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | GeneExpression, RNASeq, Sequencing, Software | 
| Version | 1.0.1 | 
| In Bioconductor since | BioC 3.5 (R-3.4) (0.5 years) | 
| License | GPL (>=3) | 
| Depends | R (>= 3.3.2), SummarizedExperiment, S4Vectors | 
| Imports | edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2 (>= 2.1.0), scales, HTSFilter, corrplot, HTSCluster (>= 2.0.8), gridExtra, grDevices, graphics, stats, methods, compositions, mvtnorm | 
| LinkingTo | |
| Suggests | Biobase, knitr, rmarkdown, testthat | 
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | coseq_1.0.1.tar.gz | 
| Windows Binary | coseq_1.0.1.zip | 
| Mac OS X 10.11 (El Capitan) | coseq_1.0.1.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/coseq | 
| Package Short Url | http://bioconductor.org/packages/coseq/ | 
| Package Downloads Report | Download Stats | 
 
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