recipe bioconductor-mirsm

Inferring miRNA sponge modules in heterogeneous data






The package aims to identify miRNA sponge modules in heterogeneous data. It provides several functions to study miRNA sponge modules, including popular methods for inferring gene modules (candidate miRNA sponge modules), and a function to identify miRNA sponge modules, as well as several functions to conduct modular analysis of miRNA sponge modules.

package bioconductor-mirsm

(downloads) docker_bioconductor-mirsm



depends bioconductor-bicare:


depends bioconductor-biobase:


depends bioconductor-fabia:


depends bioconductor-gseabase:


depends bioconductor-ibbig:


depends bioconductor-mirsponger:




depends bioconductor-rqubic:


depends bioconductor-summarizedexperiment:


depends libblas:


depends libcxx:


depends liblapack:


depends r-base:


depends r-bibitr:

depends r-biclust:

depends r-dbscan:

depends r-dynamictreecut:

depends r-energy:

depends r-flashclust:

depends r-gfa:

depends r-igraph:

depends r-isa2:

depends r-linkcomm:

depends r-matrixcorrelation:

depends r-mcl:

depends r-mclust:

depends r-nmf:

depends r-pma:

depends r-ppclust:

depends r-rcpp:

depends r-s4vd:

depends r-sombrero:

depends r-subspace:

depends r-wgcna:



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-mirsm

and update with::

   mamba update bioconductor-mirsm

To create a new environment, run:

mamba create --name myenvname bioconductor-mirsm

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-mirsm/tags`_ for valid values for ``<tag>``)

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