recipe bioconductor-featseekr

FeatSeekR an R package for unsupervised feature selection






FeatSeekR performs unsupervised feature selection using replicated measurements. It iteratively selects features with the highest reproducibility across replicates, after projecting out those dimensions from the data that are spanned by the previously selected features. The selected a set of features has a high replicate reproducibility and a high degree of uniqueness.

package bioconductor-featseekr

(downloads) docker_bioconductor-featseekr



depends bioconductor-summarizedexperiment:


depends r-base:


depends r-mass:

depends r-pheatmap:

depends r-pracma:



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-featseekr

and update with::

   mamba update bioconductor-featseekr

To create a new environment, run:

mamba create --name myenvname bioconductor-featseekr

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<tag>

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

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