-
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/3.9/bioc/html/TargetScore.html
- License
GPL-2
- Recipe
- Links
biotools: targetscore, doi: 10.1093/bioinformatics/btt599
-
package
bioconductor-targetscore¶ 
- Versions
1.22.0-1, 1.22.0-0, 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 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-targetscore/README.html)