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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