TargetScore

TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information

Bioconductor version: 3.24 · Package version: 1.51.0

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.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TargetScore")