recipe bioconductor-stattarget

Statistical Analysis of Molecular Profiles

Homepage:

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

License:

LGPL (>= 3)

Recipe:

/bioconductor-stattarget/meta.yaml

A streamlined tool provides a graphical user interface for quality control based signal drift correction (QC-RFSC), integration of data from multi-batch MS-based experiments, and the comprehensive statistical analysis in metabolomics and proteomics.

package bioconductor-stattarget

(downloads) docker_bioconductor-stattarget

versions:
1.36.0-01.32.0-01.30.0-01.28.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-0

1.36.0-01.32.0-01.30.0-01.28.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-01.16.1-01.14.0-11.14.0-01.12.1-01.12.0-0

depends bioconductor-impute:

>=1.80.0,<1.81.0

depends bioconductor-roc:

>=1.82.0,<1.83.0

depends r-base:

>=4.4,<4.5.0a0

depends r-pdist:

depends r-pls:

depends r-plyr:

depends r-randomforest:

depends r-rrcov:

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 bioconductor-stattarget

and update with::

   mamba update bioconductor-stattarget

To create a new environment, run:

mamba create --name myenvname bioconductor-stattarget

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-stattarget:<tag>

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

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