recipe bioconductor-switchbox

Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-switchbox/meta.yaml

Links:

biotools: switchbox

The package offer different classifiers based on comparisons of pair of features (TSP), using various decision rules (e.g., majority wins principle).

package bioconductor-switchbox

(downloads) docker_bioconductor-switchbox

versions:
1.38.0-11.38.0-01.36.0-01.34.0-21.34.0-11.34.0-01.30.0-21.30.0-11.30.0-0

1.38.0-11.38.0-01.36.0-01.34.0-21.34.0-11.34.0-01.30.0-21.30.0-11.30.0-01.28.0-01.26.0-11.26.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-01.16.0-01.14.0-01.12.0-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-gplots:

depends r-proc:

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-switchbox

and update with::

   mamba update bioconductor-switchbox

To create a new environment, run:

mamba create --name myenvname bioconductor-switchbox

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-switchbox:<tag>

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

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