SmartSVA (0.1.2)

Fast and Robust Surrogate Variable Analysis.

http://cran.r-project.org/web/packages/SmartSVA

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 more than 10 times faster running time while trading no accuracy loss in return.

Maintainer: Jun Chen
Author(s): Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>

License: GPL-3

Uses: isva, Rcpp

Released over 2 years ago.