COCONUT: COmbat CO-Normalization Using conTrols (COCONUT)

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.

Author
Timothy E Sweeney, MD, PhD [aut,cre]
Date of publication
2016-06-29 23:29:47
Maintainer
Timothy E Sweeney <tes17@alumni.stanford.edu>
License
GPL-3
Version
1.0.1

View on CRAN

Man pages

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

Files in this package

COCONUT
COCONUT/NAMESPACE
COCONUT/data
COCONUT/data/GSEs.test.RData
COCONUT/R
COCONUT/R/COCONUT.R
COCONUT/README.md
COCONUT/MD5
COCONUT/build
COCONUT/build/partial.rdb
COCONUT/DESCRIPTION
COCONUT/man
COCONUT/man/COCONUT.Rd
COCONUT/man/COCONUT-package.Rd
COCONUT/man/combineCOCOoutput.Rd
COCONUT/man/COCONUT_test_data.Rd