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TargetScoreData

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

TargetScoreData

Bioconductor version: Development (3.18)

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 cs.toronto.edu>

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

Installation

To install this package, start R (version "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("TargetScoreData")

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

Details

biocViews ExperimentData, RNASeqData, miRNAData
Version 1.37.0
License GPL-2
Depends
Imports
Linking To
Suggests TargetScore, gplots
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me
Suggests Me TargetScore
Links To Me
Build Report  

Package Archives

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

Source Package TargetScoreData_1.37.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/TargetScoreData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TargetScoreData
Package Short Url https://bioconductor.org/packages/TargetScoreData/
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