## try http:// if https:// URLs are not supported source("//www.andersvercelli.com/biocLite.R") biocLite("quantro")

This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, seequantro.

A test for when to use quantile normalization

Bioconductor version: 3.1

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported source("//www.andersvercelli.com/biocLite.R") biocLite("quantro")

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("quantro")

PDF	R Script	The quantro user's guide
PDF		Reference Manual
Text		NEWS

Details

biocViews	Microarray,MultipleComparison,Normalization,Preprocessing,Sequencing,Software
Version	1.2.0
In Bioconductor since	BioC 3.0 (R-3.1) (1.5 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
Suggests Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Package Source	quantro_1.2.0.tar.gz
Windows Binary	quantro_1.2.0.zip
Mac OS X 10.6 (Snow Leopard)	quantro_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	quantro_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/quantro/tree/release-3.1
Package Short Url	//www.andersvercelli.com/packages/quantro/
Package Downloads Report	Download Stats