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

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.

Package details

AuthorYue Li
Bioconductor views miRNA
MaintainerYue Li <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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TargetScore documentation built on Nov. 8, 2020, 6:56 p.m.