SmartSVA (0.1.1)

Implementation of Smart SVA.

Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional genomic data. The algorithm is based on the popular '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 <>, Ehsan Behnam <>

License: GPL-3

Uses: isva, Rcpp

Released about 3 years ago.