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 <[email protected]>
Package repositoryView on Bioconductor
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TargetScore documentation built on Oct. 31, 2019, 5:01 p.m.