OutlierD

DOI: 10.18129/B9.bioc.OutlierD    

This is the development version of OutlierD; for the stable release version, see OutlierD.

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

Bioconductor version: Development (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>

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

Installation

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

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.51.0
In Bioconductor since BioC 2.1 (R-2.6) (12 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_1.51.0.tar.gz
Windows Binary OutlierD_1.51.0.zip
Mac OS X 10.11 (El Capitan) OutlierD_1.51.0.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

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