recipe bioconductor-blma

BLMA: A package for bi-level meta-analysis



GPL (>=2)



Suit of tools for bi-level meta-analysis. The package can be used in a wide range of applications, including general hypothesis testings, differential expression analysis, functional analysis, and pathway analysis.

package bioconductor-blma

(downloads) docker_bioconductor-blma



depends bioconductor-biobase:


depends bioconductor-graph:


depends bioconductor-limma:


depends bioconductor-padog:


depends bioconductor-rontotools:


depends r-base:


depends r-gsa:

depends r-metafor:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-blma

and update with::

   mamba update bioconductor-blma

To create a new environment, run:

mamba create --name myenvname bioconductor-blma

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-blma/tags`_ for valid values for ``<tag>``)

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