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This is the development version of quantro; for the stable release version, see quantro.

A test for when to use quantile normalization

Bioconductor version: Development (3.20)

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] , Rafael Irizarry [aut]

Maintainer: Stephanie Hicks <shicks19 at>

Citation (from within R, enter citation("quantro")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

The quantro user's guide HTML R Script
Reference Manual PDF


biocViews Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software
Version 1.39.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-3
Depends R (>= 4.0)
Imports Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer
System Requirements
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Suggests rmarkdown, knitr, RUnit, BiocGenerics, BiocStyle
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Imports Me yarn
Suggests Me extraChIPs, qsmooth
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Source Package quantro_1.39.0.tar.gz
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macOS Binary (x86_64) quantro_1.39.0.tgz
macOS Binary (arm64) quantro_1.39.0.tgz
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