isva: Independent Surrogate Variable Analysis

Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors.

Version: 1.8
Depends: qvalue, fastICA
Published: 2013-11-04
Author: Andrew E Teschendorff
Maintainer: Andrew Teschendorff <a.teschendorff at ucl.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: isva results

Downloads:

Reference manual: isva.pdf
Package source: isva_1.8.tar.gz
OS X binary: isva_1.8.tgz
Windows binary: isva_1.8.zip
Old sources: isva archive

Reverse dependencies:

Reverse depends: RefFreeEWAS