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source("http://bioconductor.org/biocLite.R")
biocLite("erccdashboard")

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erccdashboard

Assess Differential Gene Expression Experiments with ERCC Controls

Bioconductor version: 3.0

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 nist.gov>

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

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("erccdashboard")

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

browseVignettes("erccdashboard")

biocViews	AlternativeSplicing, BatchEffect, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, Microarray, MultipleComparison, QualityControl, RNASeq, Software, Transcription, mRNAMicroarray
Version	1.0.0
In Bioconductor since	BioC 3.0 (R-3.1)
License	GPL (>=2)
Depends	R (>= 3.1), ggplot2, gridExtra
Imports	edgeR, gplots, grid, gtools, limma, locfit, MASS, plyr, QuasiSeq, qvalue, reshape2, ROCR, scales, stringr
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URL	https://github.com/usnistgov/erccdashboard http://tinyurl.com/erccsrm
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