recipe bioconductor-ebarrays

Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification

Homepage

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

License

GPL (>= 2)

Recipe

/bioconductor-ebarrays/meta.yaml

Links

biotools: ebarrays, doi: 10.1111/j.1541-0420.2006.00611.x

EBarrays provides tools for the analysis of replicated/unreplicated microarray data.

package bioconductor-ebarrays

Versions

2.58.0-1,  2.58.0-0,  2.56.0-0,  2.54.0-1,  2.54.0-0,  2.52.0-0,  2.50.0-0,  2.48.0-1,  2.46.0-0, 

2.58.0-1,  2.58.0-0,  2.56.0-0,  2.54.0-1,  2.54.0-0,  2.52.0-0,  2.50.0-0,  2.48.0-1,  2.46.0-0,  2.44.0-0,  2.42.0-0,  2.40.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.1,<4.2.0a0

• r-cluster

• r-lattice

Required By

• bioconductor-casper

• bioconductor-gaga

• bioconductor-ebcoexpress

• bioconductor-genetclassifier

Installation

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

conda install bioconductor-ebarrays

and update with:

conda update bioconductor-ebarrays

or use the docker container:

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

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

Download stats

Link to this page

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