quantro
A test for when to use quantile normalization
Bioconductor version: 3.23 · Package version: 1.46.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("quantro")Details
| Maintainer | Stephanie Hicks <shicks19@jhu.edu> |
| Author | Stephanie Hicks [aut, cre] (ORCID: <https://orcid.org/0000-0002-7858-0231>), Rafael Irizarry [aut] (ORCID: <https://orcid.org/0000-0002-3944-4309>) |
| License | GPL-3 |
| Downloads rank | 841 |
| Source branch | RELEASE_3_23 |
| biocViews | Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | quantro_1.46.0.tar.gz |
| Windows binary (x86_64) | quantro_1.46.0.zip |
| macOS binary (arm64) | quantro_1.46.0.tgz |
| macOS binary (x86_64) | quantro_1.46.0.tgz |
Dependencies
Depends: R (>= 4.0)
Imports: Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer
Suggests: rmarkdown, knitr, RUnit, BiocGenerics, BiocStyle