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.

Version:	1.0.2
Depends:	stats
Suggests:	limma, parallel
Published:	2017-09-19
Author:	Timothy E Sweeney, MD, PhD [aut,cre]
Maintainer:	Timothy E Sweeney <tes17 at alumni.stanford.edu>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	COCONUT results

Documentation:

Reference manual:

COCONUT.pdf

Downloads:

Package source:	COCONUT_1.0.2.tar.gz
Windows binaries:	r-devel: COCONUT_1.0.2.zip, r-release: COCONUT_1.0.2.zip, r-oldrel: COCONUT_1.0.2.zip
macOS binaries:	r-release (arm64): COCONUT_1.0.2.tgz, r-oldrel (arm64): COCONUT_1.0.2.tgz, r-release (x86_64): COCONUT_1.0.2.tgz, r-oldrel (x86_64): COCONUT_1.0.2.tgz
Old sources:	COCONUT archive

Reverse dependencies:

Reverse imports:

MetaIntegrator

Linking:

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