OutlierD

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

Bioconductor version: 2.10

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")

PDF	R Script	Overview
PDF		Reference Manual

biocViews	Bioinformatics, Microarray, Software
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	1.20.0
Since	Bioconductor 2.1 (R-2.6)

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