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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:

Please use the canonical form https://CRAN.R-project.org/package=COCONUT to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.