- recipe bioconductor-cnorfuzzy
Addon to CellNOptR: Fuzzy Logic
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/CNORfuzzy.html
- License:
GPL-2
- Recipe:
- 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¶
- versions:
1.48.0-0
,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
,1.48.0-0
,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:
>=1.52.0,<1.53.0
- depends bioconductor-cellnoptr:
>=1.52.0,<1.53.0a0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc:
>=13
- depends liblapack:
>=3.9.0,<4.0a0
- depends r-base:
>=4.4,<4.5.0a0
- depends r-nloptr:
>=0.8.5
- 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-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>``)
Download stats¶
Link to this page¶
Render an 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)