The QCnormSE package provides implementations of several quality control procedures and processing steps for normalized gene expression data sets from microarray and RNA-seq experiments in a common framework.
First install the dependencies from CRAN:
## install CRAN dependencies
cran.dep = c("aplpack",
"caret",
"circlize",
"GGally",
"ggplot2",
"ggplotify",
"ggpubr",
"Hmisc",
"tidyr")
cran.dep.to.install = setdiff(cran.dep,
installed.packages()[, "Package"])
if (length(cran.dep.to.install) > 0) {
install.packages(cran.dep.to.install)
}
Next install the dependencies from Bioconductor:
## install Bioconductor dependencies
bioc.dep = c("affyio",
"BiocGenerics",
"ComplexHeatmap",
"edgeR",
"doppelgangR",
"GEOquery",
"illuminaio",
"recount",
"S4Vectors",
"SummarizedExperiment")
bioc.dep.to.install = setdiff(bioc.dep,
installed.packages()[, "Package"])
if (length(bioc.dep.to.install) > 0) {
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(bioc.dep.to.install)
}
Then install the most recent version of QCnormSE from GitHub:
library(devtools)
install_github("szymczak-lab/QCnormSE")
A detailed user guide is available as vignette.
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