COCONUT: COmbat CO-Normalization Using conTrols (COCONUT)
Version 1.0.1

Allows for pooled analysis of microarray data by batch-correcting control samples, and then applying the derived correction parameters to non-control samples to obtain bias-free, inter-dataset corrected data.

AuthorTimothy E Sweeney, MD, PhD [aut,cre]
Date of publication2016-06-29 23:29:47
MaintainerTimothy E Sweeney <tes17@alumni.stanford.edu>
LicenseGPL-3
Version1.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("COCONUT")

Getting started

Package overview
README.md

Popular man pages

COCONUT: COmbat CO-Normalization Using conTrols: COCONUT
COCONUT-package: COmbat CO-Normalization Using conTrols: COmbat...
COCONUT_test_data: COCONUT test data
combineCOCOoutput: Combine COCONUT output from multiple objects into a single...
See all...

All man pages Function index File listing

Man pages

COCONUT: COmbat CO-Normalization Using conTrols: COCONUT
COCONUT-package: COmbat CO-Normalization Using conTrols: COmbat...
COCONUT_test_data: COCONUT test data
combineCOCOoutput: Combine COCONUT output from multiple objects into a single...

Functions

COCONUT Man page Source code
COCONUT-package Man page
ComBatApplyParamsNoCov Source code
ComBatGetParamsNoCov Source code
CombatCustom Source code
GSEs.test Man page
combineCOCOoutput Man page Source code
sva.int.eprior Source code
sva.it.sol Source code

Files

NAMESPACE
data
data/GSEs.test.RData
R
R/COCONUT.R
README.md
MD5
build
build/partial.rdb
DESCRIPTION
man
man/COCONUT.Rd
man/COCONUT-package.Rd
man/combineCOCOoutput.Rd
man/COCONUT_test_data.Rd
COCONUT documentation built on May 19, 2017, 5:55 p.m.

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