recipe bioconductor-tdbasedufeadv

Advanced package of tensor decomposition based unsupervised feature extraction

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-tdbasedufeadv/meta.yaml

This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. In contrast to TDbasedUFE which can perform simple the feature selection and the multiomics analyses, this package can perform more complicated and advanced features, but they are not so popularly required. Only users who require more specific features can make use of its functionality.

package bioconductor-tdbasedufeadv

versions:

1.2.0-0,  1.0.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-dose:

>=3.28.0,<3.29.0

depends bioconductor-enrichplot:

>=1.22.0,<1.23.0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-rtcga:

>=1.32.0,<1.33.0

depends bioconductor-stringdb:

>=2.14.0,<2.15.0

depends bioconductor-tdbasedufe:

>=1.2.0,<1.3.0

depends r-base:

>=4.3,<4.4.0a0

depends r-enrichr:

depends r-hash:

depends r-rtensor:

depends r-shiny:

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-tdbasedufeadv

and update with::

   mamba update bioconductor-tdbasedufeadv

To create a new environment, run:

mamba create --name myenvname bioconductor-tdbasedufeadv

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-tdbasedufeadv:<tag>

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