OutlierD

DOI: 10.18129/B9.bioc.OutlierD    

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

Bioconductor version: Release (3.11)

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("OutlierD")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

Details

biocViews	Microarray, Software
Version	1.52.0
In Bioconductor since	BioC 2.1 (R-2.6) (13 years)
License	GPL (>= 2)
Depends	R (>= 2.3.0), Biobase, quantreg
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://www.korea.ac.kr/~stat2242/
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	OutlierD_1.52.0.tar.gz
Windows Binary	OutlierD_1.52.0.zip
macOS 10.13 (High Sierra)	OutlierD_1.52.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/OutlierD
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/OutlierD
Package Short Url	https://bioconductor.org/packages/OutlierD/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive