knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
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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