- recipe bioconductor-dfp
Gene Selection
- Homepage:
- License:
GPL-2
- Recipe:
- 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¶
- versions:
1.64.0-0
,1.60.0-0
,1.58.0-0
,1.56.0-0
,1.52.0-0
,1.50.0-0
,1.48.0-1
,1.48.0-0
,1.46.0-0
,1.64.0-0
,1.60.0-0
,1.58.0-0
,1.56.0-0
,1.52.0-0
,1.50.0-0
,1.48.0-1
,1.48.0-0
,1.46.0-0
,1.44.0-0
,1.42.0-1
,1.40.0-0
,1.38.0-0
,1.36.0-0
- 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>``)
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-dfp/README.html)