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

This package detects outliers using quantile regression on the M-A scatterplots of high-throughput data.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("OutlierD")
AuthorHyungJun Cho <hj4cho@korea.ac.kr>
Bioconductor views Microarray
Date of publicationNone
MaintainerSukwoo Kim <s4kim@korea.ac.kr>
LicenseGPL (>= 2)
Version1.38.0
http://www.korea.ac.kr/~stat2242/

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/OutlierD.R
build
build/vignette.rds
data
data/lcms.RData
inst
inst/doc
inst/doc/OutlierD.R
inst/doc/OutlierD.Rnw
inst/doc/OutlierD.pdf
man
man/OutlierD.Rd man/lcms.Rd
vignettes
vignettes/OutlierD.Rnw

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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