To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("OutlierD")

In most cases, you don't need to download the package archive at all.

OutlierD

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

Bioconductor version: Release (3.5)

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>

Citation (from within R, enter citation("OutlierD")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("OutlierD")

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

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

Source Package	OutlierD_1.40.0.tar.gz
Windows Binary	OutlierD_1.40.0.zip
Mac OS X 10.11 (El Capitan)	OutlierD_1.40.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/OutlierD
Package Short Url	http://bioconductor.org/packages/OutlierD/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Please read the posting guide. Post questions about Bioconductor to one of the following locations: