This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see quantro.
Bioconductor version: 3.11
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")):
To install this package, start R (version "4.0") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("quantro")
| HTML | R Script | The quantro user's guide |
| Reference Manual | ||
| Text | NEWS |
| biocViews | Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software |
| Version | 1.22.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (6 years) |
| License | GPL (>=3) |
| Depends | R (>= 4.0) |
| 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 | qsmooth |
| Links To Me | |
| Build Report |
Follow Installation instructions to use this package in your R session.
| Source Package | quantro_1.22.0.tar.gz |
| Windows Binary | quantro_1.22.0.zip |
| macOS 10.13 (High Sierra) | quantro_1.22.0.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 | https://bioconductor.org/packages/quantro/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: