recipe bioconductor-cnorfuzzy

Addon to CellNOptR: Fuzzy Logic

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-cnorfuzzy/meta.yaml

Links:

biotools: cnorfuzzy, doi: 10.1186/1752-0509-6-133

This package is an extension to CellNOptR. It contains additional functionality needed to simulate and train a prior knowledge network to experimental data using constrained fuzzy logic (cFL, rather than Boolean logic as is the case in CellNOptR). Additionally, this package will contain functions to use for the compilation of multiple optimization results (either Boolean or cFL).

package bioconductor-cnorfuzzy

(downloads) docker_bioconductor-cnorfuzzy

versions:
1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.36.0-2,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-1, 

1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.36.0-2,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0

depends bioconductor-cellnoptr:

>=1.48.0,<1.49.0

depends bioconductor-cellnoptr:

>=1.48.0,<1.49.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

depends r-nloptr:

>=0.8.5

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-cnorfuzzy

and update with::

   mamba update bioconductor-cnorfuzzy

To create a new environment, run:

mamba create --name myenvname bioconductor-cnorfuzzy

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-cnorfuzzy:<tag>

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

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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-cnorfuzzy/README.html)