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quantro

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 (3.24)

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 iD ORCID: 0000-0002-7858-0231 , Rafael Irizarry [aut] ORCID iD ORCID: 0000-0002-3944-4309

Maintainer: Stephanie Hicks <shicks19 at jhu.edu>

Citation (from within R, enter citation("quantro")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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 1.47.0
In Bioconductor since BioC 3.0 (R-3.1) (12 years)
License GPL-3
Depends R (>= 4.0)
Imports Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer
System Requirements
URL
See More
Suggests rmarkdown, knitr, RUnit, BiocGenerics, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me yarn
Suggests Me extraChIPs, qsmooth
Links To Me
Build Report Build Report

Package Archives

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

Source Package quantro_1.47.0.tar.gz
Windows Binary (x86_64) quantro_1.47.0.zip
macOS Binary (big-sur-x86_64) quantro_1.47.0.tgz
macOS Binary (sonoma-arm64) quantro_1.47.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/quantro
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/quantro
Bioc Package Browser https://code.bioconductor.org/browse/quantro/
Package Short Url https://bioconductor.org/packages/quantro/
Package Downloads Report Download Stats