bioconductor-targetscore

downloads

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.

Home http://bioconductor.org/packages/3.6/bioc/html/TargetScore.html
Versions 1.14.0, 1.16.0
License GPL-2
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-targetscore

Installation

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

conda install bioconductor-targetscore

and update with:

conda update bioconductor-targetscore

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-targetscore.