recipe bioconductor-asset

An R package for subset-based association analysis of heterogeneous traits and subtypes

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/ASSET.html

License:

GPL-2 + file LICENSE

Recipe:

/bioconductor-asset/meta.yaml

An R package for subset-based analysis of heterogeneous traits and disease subtypes. The package allows the user to search through all possible subsets of z-scores to identify the subset of traits giving the best meta-analyzed z-score. Further, it returns a p-value adjusting for the multiple-testing involved in the search. It also allows for searching for the best combination of disease subtypes associated with each variant.

package bioconductor-asset

(downloads) docker_bioconductor-asset

versions:
2.24.0-02.20.0-02.18.0-02.16.0-02.12.0-02.10.0-02.8.0-12.8.0-02.6.0-0

2.24.0-02.20.0-02.18.0-02.16.0-02.12.0-02.10.0-02.8.0-12.8.0-02.6.0-02.4.0-02.2.0-12.2.0-02.0.0-0

depends r-base:

>=4.4,<4.5.0a0

depends r-mass:

depends r-msm:

depends r-rmeta:

requirements:

additional platforms:

Installation

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-asset

and update with::

   mamba update bioconductor-asset

To create a new environment, run:

mamba create --name myenvname bioconductor-asset

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 quay.io/biocontainers/bioconductor-asset:<tag>

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

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