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

Bioconductor version: Release (3.18)

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.

Author: Yue Li

Maintainer: Yue Li <yueli at cs.toronto.edu>

Citation (from within R, enter citation("TargetScore")):


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if (!require("BiocManager", quietly = TRUE))


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To view documentation for the version of this package installed in your system, start R and enter:

TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information PDF R Script
Reference Manual PDF


biocViews Software, miRNA
Version 1.40.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL-2
Depends pracma, Matrix
System Requirements
URL http://www.cs.utoronto.ca/~yueli/software.html
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Suggests TargetScoreData, gplots, Biobase, GEOquery
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Source Package TargetScore_1.40.0.tar.gz
Windows Binary TargetScore_1.40.0.zip
macOS Binary (x86_64) TargetScore_1.40.0.tgz
macOS Binary (arm64) TargetScore_1.40.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/TargetScore
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TargetScore
Bioc Package Browser https://code.bioconductor.org/browse/TargetScore/
Package Short Url https://bioconductor.org/packages/TargetScore/
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