erccdashboard

Assess Differential Gene Expression Experiments with ERCC Controls


Bioconductor version: Release (3.20)

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 "4.4") 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")
erccdashboard introduction HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews AlternativeSplicing, BatchEffect, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, ImmunoOncology, Microarray, MultipleComparison, QualityControl, RNASeq, Software, Transcription, mRNAMicroarray
Version 1.40.0
In Bioconductor since BioC 3.0 (R-3.1) (10 years)
License GPL (>=2)
Depends R (>= 4.0), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0)
Imports edgeR, gplots, grid, gtools, limma, locfit, MASS, plyr, qvalue, reshape2, ROCR, scales, stringr, knitr
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Suggests BiocStyle, knitr, rmarkdown
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Package Archives

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

Source Package erccdashboard_1.40.0.tar.gz
Windows Binary (x86_64) erccdashboard_1.40.0.zip
macOS Binary (x86_64) erccdashboard_1.40.0.tgz
macOS Binary (arm64) erccdashboard_1.40.0.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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