recipe r-recetox-waveica

Removal of batch effects for large-scale untargeted metabolomics data based on wavelet transform.

Homepage:

https://github.com/recetox/waveica

License:

MIT

Recipe:

/r-recetox-waveica/meta.yaml

Links:

doi: 10.1016/j.aca.2019.02.010, doi: 10.1007/s11306-021-01839-7

Recetox-waveica is a fork of WaveICA package customized by RECETOX. This package is used to remove batch effects from large-scale untargeted metabolomics data and contains functionality of both original WaveICA and WaveICA 2.0 libraries.

package r-recetox-waveica

versions:

0.2.0-3,  0.2.0-2,  0.2.0-1,  0.2.0-0,  0.1.0-0

depends r-base:

>=4.4,<4.5.0a0

depends r-corpcor:

depends r-jade:

depends r-mgcv:

depends r-waveslim:

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 r-recetox-waveica

and update with::

   mamba update r-recetox-waveica

To create a new environment, run:

mamba create --name myenvname r-recetox-waveica

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/r-recetox-waveica:<tag>

(see `r-recetox-waveica/tags`_ for valid values for ``<tag>``)

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