recipe bioconductor-snm

Supervised Normalization of Microarrays

Homepage:

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

License:

LGPL

Recipe:

/bioconductor-snm/meta.yaml

Links:

biotools: snm

SNM is a modeling strategy especially designed for normalizing high-throughput genomic data. The underlying premise of our approach is that your data is a function of what we refer to as study-specific variables. These variables are either biological variables that represent the target of the statistical analysis, or adjustment variables that represent factors arising from the experimental or biological setting the data is drawn from. The SNM approach aims to simultaneously model all study-specific variables in order to more accurately characterize the biological or clinical variables of interest.

package bioconductor-snm

(downloads) docker_bioconductor-snm

versions:
1.50.0-0,  1.48.0-0,  1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-0, 

1.50.0-0,  1.48.0-0,  1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-corpcor:

depends r-lme4:

>=1.0

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-snm

and update with::

   mamba update bioconductor-snm

To create a new environment, run:

mamba create --name myenvname bioconductor-snm

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-snm:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-snm/README.html)