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

(downloads) docker_bioconductor-coseq

Versions

1.6.0-0

Depends bioconductor-biocparallel

>=1.16.0,<1.17.0

Depends bioconductor-deseq2

>=1.22.0,<1.23.0

Depends bioconductor-edger

>=3.24.0,<3.25.0

Depends bioconductor-htsfilter

>=1.22.0,<1.23.0

Depends bioconductor-s4vectors

>=0.20.0,<0.21.0

Depends bioconductor-summarizedexperiment

>=1.12.0,<1.13.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-capushe

Depends r-compositions

Depends r-corrplot

Depends r-e1071

Depends r-ggplot2

>=2.1.0

Depends r-htscluster

>=2.0.8

Depends r-mvtnorm

Depends r-rmixmod

Depends r-scales

Requirements

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>)