recipe bioconductor-asgsca

Association Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models







biotools: asgsca, doi: 10.1002/gepi.21872

The package provides tools to model and test the association between multiple genotypes and multiple traits, taking into account the prior biological knowledge. Genes, and clinical pathways are incorporated in the model as latent variables. The method is based on Generalized Structured Component Analysis (GSCA).

package bioconductor-asgsca

(downloads) docker_bioconductor-asgsca



depends r-base:


depends r-mass:

depends r-matrix:



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-asgsca

and update with::

   mamba update bioconductor-asgsca

To create a new environment, run:

mamba create --name myenvname bioconductor-asgsca

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

Download stats