OutlierD

DOI: 10.18129/B9.bioc.OutlierD    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Bioconductor version: Release (3.13)

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>

Citation (from within R, enter citation("OutlierD")):

Installation

To install this package, start R (version "4.1") 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

PDF   Reference Manual

Details

biocViews Microarray, Software
Version 1.56.0
In Bioconductor since BioC 2.1 (R-2.6) (13.5 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
Windows Binary
macOS 10.13 (High Sierra)
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/
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