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.
| Home | http://bioconductor.org/packages/3.7/bioc/html/TargetScore.html |
| Versions | 1.14.0, 1.16.0, 1.18.0 |
| License | GPL-2 |
| Recipe | https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-targetscore |
| Links | biotools: targetscore, doi: 10.1093/bioinformatics/btt599 |
Installation¶
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-targetscore
and update with:
conda update bioconductor-targetscore
A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-targetscore.
Link to this page¶
Render an 
badge with the following Markdown:
[](http://bioconda.github.io/recipes/bioconductor-targetscore/README.html)
