OutlierD

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

Bioconductor version: 2.8

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("OutlierD")

Documentation

PDF R Script Overview
PDF   Reference Manual

Details

biocViews Microarray, Bioinformatics
Depends R (>= 2.3.0), Biobase, quantreg
Imports
Suggests
System Requirements
License GPL (>= 2)
URL http://www.korea.ac.kr/~stat2242/
Depends On Me
Imports Me
Suggests Me
Version 1.16.0
Since Bioconductor 2.1 (R-2.6)

Package Downloads

Package Source OutlierD_1.16.0.tar.gz
Windows Binary OutlierD_1.16.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary OutlierD_1.16.0.tgz
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