recipe bioconductor-coseq

Co-Expression Analysis of Sequencing Data

Homepage

https://bioconductor.org/packages/3.14/bioc/html/coseq.html

License

GPL-3

Recipe

/bioconductor-coseq/meta.yaml

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.

package bioconductor-coseq

Versions

1.18.0-0,  1.16.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

Depends

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-deseq2 >=1.34.0,<1.35.0

• bioconductor-edger >=3.36.0,<3.37.0

• bioconductor-htsfilter >=1.34.0,<1.35.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• r-base >=4.1,<4.2.0a0

• r-capushe

• r-compositions

• r-corrplot

• r-e1071

• r-ggplot2

• r-htscluster

• 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>)

Download stats

Link to this page

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