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.


Reference manual

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0.1.3 by Jun Chen, 2 years ago

Browse source code at

Authors: Jun Chen <[email protected]> , Ehsan Behnam <[email protected]>

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, stats, utils

Depends on sva, isva, RSpectra

Linking to Rcpp, RcppEigen

See at CRAN