This is the development version of TargetScore; for the stable release version, see TargetScore.
TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence informationBioconductor version: Development (3.22)
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, entercitation("TargetScore")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("TargetScore")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TargetScore")Follow Installation instructions to use this package in your R session.
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