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TargetScore

This is the development version of TargetScore; for the stable release version, see TargetScore.

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

DOI: 10.18129/B9.bioc.TargetScore

Bioconductor version: Development (3.24)

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")):

Yue Li. TargetScore: TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information. doi:10.18129/B9.bioc.TargetScore, R package version 1.51.0, https://bioconductor.org/packages/TargetScore.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("TargetScore")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("TargetScore")

Details

Package Archives

Follow Installation instructions to use this package in your R session.