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

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

Author
HyungJun Cho <hj4cho@korea.ac.kr>
Date of publication
None
Maintainer
Sukwoo Kim <s4kim@korea.ac.kr>
License
GPL (>= 2)
Version
1.38.0
URLs

View on Bioconductor

Man pages

lcms
LCMS data
OutlierD
Outlier dectection using quantile regression on the M-A...

Files in this package

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