recipe bioconductor-coseq

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.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/coseq.html

License

GPL (>=3)

Recipe

/bioconductor-coseq/meta.yaml

package bioconductor-coseq

Versions

1.6.0-0

Depends

• bioconductor-biocparallel >=1.16.0,<1.17.0

• bioconductor-deseq2 >=1.22.0,<1.23.0

• bioconductor-edger >=3.24.0,<3.25.0

• bioconductor-htsfilter >=1.22.0,<1.23.0

• bioconductor-s4vectors >=0.20.0,<0.21.0

• bioconductor-summarizedexperiment >=1.12.0,<1.13.0

• r-base >=3.5.1,<3.5.2.0a0

• r-capushe

• r-compositions

• r-corrplot

• r-e1071

• r-ggplot2 >=2.1.0

• r-htscluster >=2.0.8

• r-mvtnorm

• r-rmixmod

• r-scales

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-coseq

and update with:

conda update bioconductor-coseq

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-coseq:<tag>

(see bioconductor-coseq/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-coseq/README.html)