recipe bioconductor-targetscore

Infer the posterior distributions of microRNA targets by probabilistically modelling the likelihood microRNA-overexpression fold-changes and sequence-based scores. Variaitonal Bayesian Gaussian mixture model (VB-GMM) is applied to log fold-changes and sequence scores to obtain the posteriors of latent variable being the miRNA targets. The final targetScore is computed as the sigmoid-transformed fold-change weighted by the averaged posteriors of target components over all of the features.

Homepage:https://bioconductor.org/packages/3.8/bioc/html/TargetScore.html
License:GPL-2
Recipe:/bioconductor-targetscore/meta.yaml
Links:biotools: targetscore, doi: 10.1093/bioinformatics/btt599
package bioconductor-targetscore

(downloads) docker_bioconductor-targetscore

Versions:

1.20.0-0, 1.18.0-0, 1.16.0-0, 1.14.0-0
Depends:
Required By:

Installation

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

conda install bioconductor-targetscore

and update with:

conda update bioconductor-targetscore

or use the docker container:

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

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

Link to this page

Render an install-with-bioconda 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-targetscore/README.html)