recipe bioconductor-gaga

GaGa hierarchical model for high-throughput data analysis

Homepage:

https://bioconductor.org/packages/3.16/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:
2.44.0-02.40.0-22.40.0-12.40.0-02.38.0-02.36.0-12.36.0-02.34.0-02.32.0-0

2.44.0-02.40.0-22.40.0-12.40.0-02.38.0-02.36.0-12.36.0-02.34.0-02.32.0-02.30.0-12.28.1-02.28.0-02.26.0-02.24.0-02.22.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see 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>)

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