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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("quantro")
In most cases, you don't need to download the package archive at all.
quantro
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A test for when to use quantile normalization
Bioconductor version: Release (3.5)
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 <shicks at jimmy.harvard.edu>
Citation (from within R,
enter citation("quantro")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("quantro")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("quantro")
| R Script | The quantro user's guide | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software |
| Version | 1.10.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (3 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 | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | quantro_1.10.0.tar.gz |
| Windows Binary | quantro_1.10.0.zip |
| Mac OS X 10.11 (El Capitan) | quantro_1.10.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/quantro |
| Package Short Url | http://bioconductor.org/packages/quantro/ |
| Package Downloads Report | Download Stats |
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