OutlierDM: Outlier Detection for Multi-replicated High-throughput Data

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Detecting outlying values such as genes, peptides or samples for multi-replicated high-throughput high-dimensional data

Author
Soo-Heang Eo [aut, cre], HyungJun Cho [aut]
Date of publication
2014-12-24 01:28:29
Maintainer
Soo-Heang Eo <eo.sooheang@gmail.com>
License
GPL-3
Version
1.1.1

View on CRAN

Man pages

lcms3
a real MS dataset obtained from analyzing human sera
odm
Outlier Dectection for Multi-replicated data
odm-class
Class '"OutlierDM"'
odm.control
Control tuning parameters for "OutlierDM" object
odm-package
Functions for detecting outlying parameters (peptides) or...
plot.odm
a plot-method for a "OutlierDM" object
rgrubbs.test
Recursive Grubbs test for an outlier detection
toy
an artificial dataset for a LC/MS/MS experiment

Files in this package

OutlierDM
OutlierDM/inst
OutlierDM/inst/CITATION
OutlierDM/inst/NEWS.Rd
OutlierDM/NAMESPACE
OutlierDM/data
OutlierDM/data/lcms3.rda
OutlierDM/data/toy.rda
OutlierDM/R
OutlierDM/R/OutlierD.R
OutlierDM/R/odm.control.R
OutlierDM/R/subfunctions.r
OutlierDM/MD5
OutlierDM/DESCRIPTION
OutlierDM/man
OutlierDM/man/odm-class.Rd
OutlierDM/man/toy.Rd
OutlierDM/man/rgrubbs.test.Rd
OutlierDM/man/odm-package.Rd
OutlierDM/man/lcms3.Rd
OutlierDM/man/odm.Rd
OutlierDM/man/plot.odm.Rd
OutlierDM/man/oneplot.rd
OutlierDM/man/odm.control.Rd