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Assess Differential Gene Expression Experiments with ERCC Controls

Bioconductor version: Release (3.18)

Technical performance metrics for differential gene expression experiments using External RNA Controls Consortium (ERCC) spike-in ratio mixtures.

Author: Sarah Munro, Steve Lund

Maintainer: Sarah Munro <sarah.munro at gmail.com>

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


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


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erccdashboard examples PDF R Script
Reference Manual PDF


biocViews AlternativeSplicing, BatchEffect, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, ImmunoOncology, Microarray, MultipleComparison, QualityControl, RNASeq, Software, Transcription, mRNAMicroarray
Version 1.36.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL (>=2)
Depends R (>= 3.2), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0)
Imports edgeR, gplots, grid, gtools, limma, locfit, MASS, plyr, qvalue, reshape2, ROCR, scales, stringr
System Requirements
URL https://github.com/munrosa/erccdashboard http://tinyurl.com/erccsrm
Bug Reports https://github.com/munrosa/erccdashboard/issues
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Follow Installation instructions to use this package in your R session.

Source Package erccdashboard_1.36.0.tar.gz
Windows Binary erccdashboard_1.36.0.zip (64-bit only)
macOS Binary (x86_64) erccdashboard_1.36.0.tgz
macOS Binary (arm64) erccdashboard_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/erccdashboard
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/erccdashboard
Bioc Package Browser https://code.bioconductor.org/browse/erccdashboard/
Package Short Url https://bioconductor.org/packages/erccdashboard/
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