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 '' 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
DOI: 10.32614/CRAN.package.SmartSVA
Author: Jun Chen, Ehsan Behnam
Maintainer: Jun Chen <Chen.Jun2 at>
License: GPL-3
NeedsCompilation: yes
CRAN checks: SmartSVA results


Reference manual: SmartSVA.pdf


Package source: SmartSVA_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SmartSVA_0.1.3.tgz, r-oldrel (arm64): SmartSVA_0.1.3.tgz, r-release (x86_64): SmartSVA_0.1.3.tgz, r-oldrel (x86_64): SmartSVA_0.1.3.tgz
Old sources: SmartSVA archive

Reverse dependencies:

Reverse imports: MEAL, omicRexposome


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