SmartSVA (0.1.3)

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.

Maintainer: Jun Chen
Author(s): Jun Chen <>, Ehsan Behnam <>

License: GPL-3

Uses: isva, Rcpp, RSpectra

Released over 2 years ago.