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>
License: GPL-2
NeedsCompilation: no
CRAN checks: isva results


Reference manual: isva.pdf


Package source: isva_1.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.