recipe bioconductor-sigfeature

sigFeature: Significant feature selection using SVM-RFE & t-statistic

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-sigfeature/meta.yaml

This package provides a novel feature selection algorithm for binary classification using support vector machine recursive feature elimination SVM-RFE and t-statistic. In this feature selection process, the selected features are differentially significant between the two classes and also they are good classifier with higher degree of classification accuracy.

package bioconductor-sigfeature

versions:

1.20.0-0,  1.18.0-0,  1.16.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0, 

1.20.0-0,  1.18.0-0,  1.16.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.0-0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends bioconductor-biocviews:

>=1.70.0,<1.71.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-e1071:

depends r-matrix:

depends r-nlme:

depends r-openxlsx:

depends r-pheatmap:

depends r-rcolorbrewer:

depends r-sparsem:

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-sigfeature

and update with::

   mamba update bioconductor-sigfeature

To create a new environment, run:

mamba create --name myenvname bioconductor-sigfeature

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-sigfeature:<tag>

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

Download stats

Link to this page

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