SmartSVA: Fast and Robust Surrogate Variable Analysis (original) (raw)
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 |
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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 mayo.edu> |
License: | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | SmartSVA results |
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