recipe w4mclassfilter

Filter Workflow4Metabolomics feature list, optionally imputing NA values.

Homepage:

https://github.com/HegemanLab/w4mclassfilter

License:

MIT

Recipe:

/w4mclassfilter/meta.yaml

Filter Workflow4Metabolomics dataMatrix, sampleMetadata, and variableMetadata files by sample-class, eliminating zero-variance rows and columns from the data-matrix and, optionally, imputing NA values. MIT Licence allows redistribution.

package w4mclassfilter

(downloads) docker_w4mclassfilter

versions:
0.98.19-5,  0.98.19-4,  0.98.19-3,  0.98.19-2,  0.98.19-1,  0.98.19-0,  0.98.18-1,  0.98.18-0,  0.98.17-0, 

0.98.19-5,  0.98.19-4,  0.98.19-3,  0.98.19-2,  0.98.19-1,  0.98.19-0,  0.98.18-1,  0.98.18-0,  0.98.17-0,  0.98.16-0,  0.98.15-0,  0.98.14-0,  0.98.13-0,  0.98.12-0,  0.98.9-0,  0.98.8-1,  0.98.7-1,  0.98.7-0,  0.98.6-1,  0.98.6-0,  0.98.3-1,  0.98.3-0,  0.98.2-1,  0.98.2-0,  0.98.1-1,  0.98.1-0,  0.98.0-1,  0.98.0-0

depends r-base:

>=4.4,<4.5.0a0

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 w4mclassfilter

and update with::

   mamba update w4mclassfilter

To create a new environment, run:

mamba create --name myenvname w4mclassfilter

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/w4mclassfilter:<tag>

(see `w4mclassfilter/tags`_ for valid values for ``<tag>``)

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