recipe bioconductor-mirsm

Inferring miRNA sponge modules in heterogeneous data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/miRSM.html

License:

GPL-3

Recipe:

/bioconductor-mirsm/meta.yaml

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

Versions:

1.16.0-0,  1.12.0-2,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.3-0,  1.8.0-0,  1.4.0-0,  1.2.0-1

Depends:

• bioconductor-bicare >=1.56.0,<1.57.0

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-fabia >=2.44.0,<2.45.0

• bioconductor-gseabase >=1.60.0,<1.61.0

• bioconductor-ibbig >=1.42.0,<1.43.0

• bioconductor-mirsponger >=2.2.0,<2.3.0

• bioconductor-org.hs.eg.db >=3.16.0,<3.17.0

• bioconductor-rqubic >=1.44.0,<1.45.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-bibitr

• r-biclust

• r-dbscan

• r-dynamictreecut

• r-energy

• r-flashclust

• r-gfa

• r-igraph

• r-isa2

• r-linkcomm

• r-matrixcorrelation

• r-mcl

• r-mclust

• r-nmf

• r-pma

• r-ppclust

• r-rcpp

• r-s4vd

• r-sombrero

• r-subspace

• r-wgcna

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-mirsm

and update with:

conda update bioconductor-mirsm

or use the docker container:

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

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

Download stats

Link to this page

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