SmartSVA: Fast and Robust Surrogate Variable Analysis

Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.

Version: 0.1.3
Depends: R (≥ 3.1.0), sva, isva, RSpectra
Imports: Rcpp, stats, utils
LinkingTo: Rcpp, RcppEigen
Published: 2017-05-28
Author: Jun Chen, Ehsan Behnam
Maintainer: Jun Chen <Chen.Jun2 at mayo.edu>
License: GPL-3
NeedsCompilation: yes
CRAN checks: SmartSVA results

Downloads:

Reference manual: SmartSVA.pdf
Package source: SmartSVA_0.1.3.tar.gz
Windows binaries: r-devel: SmartSVA_0.1.3.zip, r-release: SmartSVA_0.1.3.zip, r-oldrel: SmartSVA_0.1.3.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: SmartSVA_0.1.3.tgz
Old sources: SmartSVA archive

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