recipe bioconductor-affyplm

Methods for fitting probe-level models

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/affyPLM.html

License:

GPL (>= 2)

Recipe:

/bioconductor-affyplm/meta.yaml

Links:

biotools: affyplm

A package that extends and improves the functionality of the base affy package. Routines that make heavy use of compiled code for speed. Central focus is on implementation of methods for fitting probe-level models and tools using these models. PLM based quality assessment tools.

package bioconductor-affyplm

(downloads) docker_bioconductor-affyplm

versions:
1.76.1-01.74.0-11.74.0-01.70.0-21.70.0-11.70.0-01.68.0-01.66.0-11.66.0-0

1.76.1-01.74.0-11.74.0-01.70.0-21.70.0-11.70.0-01.68.0-01.66.0-11.66.0-01.64.0-01.62.0-01.60.0-11.58.0-01.56.0-01.54.0-0

depends bioconductor-affy:

>=1.78.0,<1.79.0

depends bioconductor-biobase:

>=2.60.0,<2.61.0

depends bioconductor-biocgenerics:

>=0.46.0,<0.47.0

depends bioconductor-gcrma:

>=2.72.0,<2.73.0

depends bioconductor-preprocesscore:

>=1.62.0,<1.63.0

depends bioconductor-zlibbioc:

>=1.46.0,<1.47.0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

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-affyplm

and update with::

   mamba update bioconductor-affyplm

To create a new environment, run:

mamba create --name myenvname bioconductor-affyplm

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-affyplm:<tag>

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

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