quantro

A test for when to use quantile normalization


Bioconductor version: Release (3.19)

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 jhu.edu>

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

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("quantro")

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

Documentation

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

browseVignettes("quantro")
The quantro user's guide HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software
Version 1.38.0
In Bioconductor since BioC 3.0 (R-3.1) (10 years)
License GPL-3
Depends R (>= 4.0)
Imports Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer
System Requirements
URL
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Suggests rmarkdown, knitr, RUnit, BiocGenerics, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me yarn
Suggests Me extraChIPs, qsmooth
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package quantro_1.38.0.tar.gz
Windows Binary (x86_64) quantro_1.38.0.zip
macOS Binary (x86_64) quantro_1.38.0.tgz
macOS Binary (arm64) quantro_1.38.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/quantro
Source Repository (Developer Access) git clone [email protected]:packages/quantro
Bioc Package Browser https://code.bioconductor.org/browse/quantro/
Package Short Url https://bioconductor.org/packages/quantro/
Package Downloads Report Download Stats