recipe bioconductor-prince

Predicting Interactomes from Co-Elution

Homepage:

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

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-prince/meta.yaml

PrInCE (Predicting Interactomes from Co-Elution) uses a naive Bayes classifier trained on dataset-derived features to recover protein-protein interactions from co-elution chromatogram profiles. This package contains the R implementation of PrInCE.

package bioconductor-prince

versions:

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0, 

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-msnbase:

>=2.28.0,<2.29.0

depends r-base:

>=4.3,<4.4.0a0

depends r-dplyr:

>=0.7.4

depends r-forecast:

>=8.2

depends r-hmisc:

>=4.0

depends r-liblinear:

>=2.10-8

depends r-magrittr:

>=1.5

depends r-naivebayes:

>=0.9.1

depends r-progress:

>=1.1.2

depends r-purrr:

>=0.2.4

depends r-ranger:

>=0.8.0

depends r-rdpack:

>=0.7

depends r-robustbase:

>=0.92-7

depends r-speedglm:

>=0.3-2

depends r-tester:

>=0.1.7

depends r-tidyr:

>=0.8.99

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-prince

and update with::

   mamba update bioconductor-prince

To create a new environment, run:

mamba create --name myenvname bioconductor-prince

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-prince:<tag>

(see `bioconductor-prince/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-prince/README.html)