quantro

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")):

Installation

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

if (!requireNamespace("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")

 

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

Details

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
LinkingTo
Suggests knitr, RUnit, BiocGenerics, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me yarn
Suggests Me
Links To Me
Build Report  

Package Archives

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/
Package Downloads Report Download Stats

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