recipe bioconductor-padma

Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis

Homepage:

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

License:

GPL (>=3)

Recipe:

/bioconductor-padma/meta.yaml

Use multiple factor analysis to calculate individualized pathway-centric scores of deviation with respect to the sampled population based on multi-omic assays (e.g., RNA-seq, copy number alterations, methylation, etc). Graphical and numerical outputs are provided to identify highly aberrant individuals for a particular pathway of interest, as well as the gene and omics drivers of aberrant multi-omic profiles.

package bioconductor-padma

(downloads) docker_bioconductor-padma

versions:

1.12.0-01.10.0-01.8.0-01.4.0-01.2.0-01.0.0-21.0.0-1

depends bioconductor-multiassayexperiment:

>=1.28.0,<1.29.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-factominer:

requirements:

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-padma

and update with::

   mamba update bioconductor-padma

To create a new environment, run:

mamba create --name myenvname bioconductor-padma

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-padma:<tag>

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

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