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
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:

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