recipe bioconductor-gaga

GaGa hierarchical model for high-throughput data analysis

Homepage

https://bioconductor.org/packages/3.11/bioc/html/gaga.html

License

GPL (>= 2)

Recipe

/bioconductor-gaga/meta.yaml

Links

biotools: gaga, doi: 10.1214/09-aoas244

Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package).

package bioconductor-gaga

(downloads) docker_bioconductor-gaga

Versions

2.34.0-02.32.0-02.30.0-12.28.1-02.28.0-02.26.0-02.24.0-02.22.0-0

Depends
Required By

Installation

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

conda install bioconductor-gaga

and update with:

conda update bioconductor-gaga

or use the docker container:

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

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