Package: SmartSVA
Type: Package
Title: Implementation of Smart SVA
Version: 0.1.1
Author: Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Maintainer: Jun Chen <Chen.Jun2@mayo.edu>
Description: 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.
License: GPL-3
Depends: R (>= 3.1.0), sva, isva
Imports: Rcpp, stats, utils
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2016-11-23 17:21:51 UTC; chenjun
Repository: CRAN
Date/Publication: 2016-11-24 00:05:49
