OutlierD

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

Bioconductor version: Development (2.8)

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

Author: HyungJun Cho

Maintainer: Sukwoo Kim

To install this package, start R and enter:

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

Documentation

PDF R Script Overview

Reference Manual

Details

biocViews Microarray, Bioinformatics
Depends R, Biobase, quantreg
Imports
Suggests
System Requirements
License GPL (>= 2)
URL http://www.korea.ac.kr/~stat2242/
Depends On Me
Imports Me
Suggests Me
Version 1.15.0

Package Downloads

Package Source OutlierD_1.15.0.tar.gz
Windows Binary OutlierD_1.15.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary OutlierD_1.15.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center