This is the development version of quantro; for the stable release version, see quantro.
A test for when to use quantile normalizationBioconductor version: Development (3.22)
A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.
Author: Stephanie Hicks [aut, cre] ORCID: 0000-0002-7858-0231 , Rafael Irizarry [aut] ORCID: 0000-0002-3944-4309
Maintainer: Stephanie Hicks <shicks19 at jhu.edu>
Citation (from within R, entercitation("quantro")
): 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("quantro")
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("quantro")
Details biocViews Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software Version 1.43.0 In Bioconductor since BioC 3.0 (R-3.1) (10.5 years) License GPL-3 Depends R (>= 4.0) Imports Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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