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erccdashboard
This is the released version of erccdashboard; for the devel version, see erccdashboard.
Assess Differential Gene Expression Experiments with ERCC Controls
Bioconductor version: Release (3.22)
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")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("erccdashboard")
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("erccdashboard")
Reference Manual
PDF
NEWS
Text
Details
biocViews
AlternativeSplicing, BatchEffect, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, ImmunoOncology, Microarray, MultipleComparison, QualityControl, RNASeq, Software, Transcription, mRNAMicroarray
Version
1.44.0
In Bioconductor since
BioC 3.0 (R-3.1) (11 years)
License
GPL (>=2)
Imports
edgeR, gplots, grid, gtools, limma, locfit, MASS, plyr, qvalue, reshape2, ROCR, scales, stringr, knitr
System Requirements
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Build Report
Build Report
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package
erccdashboard_1.44.0.tar.gz
Windows Binary (x86_64)
erccdashboard_1.43.0.zip
macOS Binary (x86_64)
erccdashboard_1.44.0.tgz
macOS Binary (arm64)
erccdashboard_1.44.0.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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