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


Bioconductor version: Development (3.20)

Precompiled and processed miRNA-overexpression fold-changes from 84 Gene Expression Omnibus (GEO) series corresponding to 6 platforms, 77 human cells or tissues, and 113 distinct miRNAs. Accompanied with the data, we also included in this package the sequence feature scores from TargetScanHuman 6.1 including the context+ score and the probabilities of conserved targeting for each miRNA-mRNA interaction. Thus, the user can use these static sequence-based scores together with user-supplied tissue/cell-specific fold-change due to miRNA overexpression to predict miRNA targets using the package TargetScore (download separately)

Author: Yue Li

Maintainer: Yue Li <yueli at>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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


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

Processed human microRNA-overexpression data from GEO, and sequence information from TargetScan, and targetScore from TargetScore PDF R Script
Reference Manual PDF


biocViews ExperimentData, RNASeqData, miRNAData
Version 1.41.0
License GPL-2
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Suggests TargetScore, gplots
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Source Package TargetScoreData_1.41.0.tar.gz
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