recipe bioconductor-ledpred

Learning from DNA to Predict Enhancers

Homepage

https://bioconductor.org/packages/3.10/bioc/html/LedPred.html

License

MIT | file LICENSE

Recipe

/bioconductor-ledpred/meta.yaml

This package aims at creating a predictive model of regulatory sequences used to score unknown sequences based on the content of DNA motifs, next-generation sequencing (NGS) peaks and signals and other numerical scores of the sequences using supervised classification. The package contains a workflow based on the support vector machine (SVM) algorithm that maps features to sequences, optimize SVM parameters and feature number and creates a model that can be stored and used to score the regulatory potential of unknown sequences.

package bioconductor-ledpred

(downloads) docker_bioconductor-ledpred

Versions

1.20.0-0, 1.18.0-1, 1.18.0-0, 1.16.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-ledpred

and update with:

conda update bioconductor-ledpred

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-ledpred:<tag>

(see bioconductor-ledpred/tags for valid values for <tag>)