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isva: Independent Surrogate Variable Analysis

Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, <doi:10.1093/bioinformatics/btr171>).

Version: 1.9
Depends: qvalue, fastICA, JADE
Published: 2017-01-14
DOI: 10.32614/CRAN.package.isva
Author: Andrew E Teschendorff
Maintainer: Andrew Teschendorff <a.teschendorff at ucl.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: isva results

Documentation:

Reference manual: isva.pdf

Downloads:

Package source: isva_1.9.tar.gz
Windows binaries: r-devel: isva_1.9.zip, r-release: isva_1.9.zip, r-oldrel: isva_1.9.zip
macOS binaries: r-release (arm64): isva_1.9.tgz, r-oldrel (arm64): isva_1.9.tgz, r-release (x86_64): isva_1.9.tgz, r-oldrel (x86_64): isva_1.9.tgz
Old sources: isva archive

Reverse dependencies:

Reverse depends: SmartSVA
Reverse imports: ChAMP, MEAL, omicRexposome
Reverse suggests: RnBeads

Linking:

Please use the canonical form https://CRAN.R-project.org/package=isva 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.