This is the development version of erccdashboard; for the stable release version, see erccdashboard.
Assess Differential Gene Expression Experiments with ERCC ControlsBioconductor version: Development (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, entercitation("erccdashboard")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("erccdashboard")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("erccdashboard")
Details biocViews AlternativeSplicing, BatchEffect, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, ImmunoOncology, Microarray, MultipleComparison, QualityControl, RNASeq, Software, Transcription, mRNAMicroarray Version 1.43.0 In Bioconductor since BioC 3.0 (R-3.1) (10.5 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 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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