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>
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:
OS X El Capitan binaries: r-release: isva_1.9.tgz
OS X Mavericks binaries: r-oldrel: isva_1.9.tgz
Old sources: isva archive

Reverse dependencies:

Reverse depends: RefFreeEWAS, SmartSVA


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