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 (3.21)
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:
Maintainer: Stephanie Hicks <shicks19 at jhu.edu>
citation("quantro")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("quantro")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software |
Version | 1.41.0 |
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 |
See More
Suggests | rmarkdown, knitr, RUnit, BiocGenerics, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
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 | https://bioconductor.org/packages/quantro/ |
Package Downloads Report | Download Stats |