DOI: 10.18129/B9.bioc.quantro    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see quantro.

A test for when to use quantile normalization

Bioconductor version: 3.8

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 and Rafael Irizarry

Maintainer: Stephanie Hicks <shicks19 at jhu.edu>

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


To install this package, start R (version "3.5") and enter:

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

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


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PDF R Script The quantro user's guide
PDF   Reference Manual
Text   NEWS


biocViews Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software
Version 1.16.0
In Bioconductor since BioC 3.0 (R-3.1) (4.5 years)
License GPL (>=3)
Depends R (>= 3.1.3)
Imports Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer
Suggests knitr, RUnit, BiocGenerics, BiocStyle
Depends On Me
Imports Me yarn
Suggests Me
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package quantro_1.16.0.tar.gz
Windows Binary quantro_1.16.0.zip
Mac OS X 10.11 (El Capitan) quantro_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/quantro
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/quantro
Package Short Url http://bioconductor.org/packages/quantro/
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