recipe bioconductor-dfp

Gene Selection

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-dfp/meta.yaml

Links:

biotools: dfp, doi: 10.1038/nmeth.3252

This package provides a supervised technique able to identify differentially expressed genes, based on the construction of \emph{Fuzzy Patterns} (FPs). The Fuzzy Patterns are built by means of applying 3 Membership Functions to discretized gene expression values.

package bioconductor-dfp

(downloads) docker_bioconductor-dfp

versions:
1.64.0-01.60.0-01.58.0-01.56.0-01.52.0-01.50.0-01.48.0-11.48.0-01.46.0-0

1.64.0-01.60.0-01.58.0-01.56.0-01.52.0-01.50.0-01.48.0-11.48.0-01.46.0-01.44.0-01.42.0-11.40.0-01.38.0-01.36.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends r-base:

>=4.4,<4.5.0a0

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-dfp

and update with::

   mamba update bioconductor-dfp

To create a new environment, run:

mamba create --name myenvname bioconductor-dfp

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-dfp:<tag>

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

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