bioconda / packages / bioconductor-targetscore 1.16.0

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.

Installers

conda install

  • linux-64  v1.16.0
  • osx-64  v1.16.0
To install this package with conda run:
conda install -c bioconda bioconductor-targetscore

Description

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