source("http://bioconductor.org/biocLite.R")
biocLite("OutlierD")

OutlierD

Outlier detection using quantile regression on the M-A scatterplots of high-throughput data

Bioconductor version: 2.13

This package detects outliers using quantile regression on the M-A scatterplots of high-throughput data.

Author: HyungJun Cho <hj4cho at korea.ac.kr>

Maintainer: Sukwoo Kim <s4kim at korea.ac.kr>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("OutlierD")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("OutlierD")

 

PDF	R Script	Overview
PDF		Reference Manual

Details

biocViews	Bioinformatics, Microarray, Software
Version	1.26.0
In Bioconductor since	BioC 2.1 (R-2.6)
License	GPL (>= 2)
Depends	R (>= 2.3.0), Biobase, quantreg
Imports
Suggests
System Requirements
URL	http://www.korea.ac.kr/~stat2242/
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	OutlierD_1.26.0.tar.gz
Windows Binary	OutlierD_1.26.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	OutlierD_1.26.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats