OutlierD

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

Bioconductor version: 2.7

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

Depends R (>= 2.3.0), Biobase, quantreg

Imports

Suggests

System Requirements

License GPL (>= 2)

Depends On Me

Imports Me

Suggests Me

Version 1.14.0

Since Bioconductor 2.1 (R-2.6)

Windows Binary OutlierD_1.14.0.zip (32- & 64-bit)

MacOS 10.5 (Leopard) binary OutlierD_1.14.0.tgz

Common Bioconductor workflows include:

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