SmartSVA: 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.

Author
Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Date of publication
2016-11-24 00:05:49
Maintainer
Jun Chen <Chen.Jun2@mayo.edu>
License
GPL-3
Version
0.1.1

View on CRAN

Man pages

smartsva
Fast and efficient surrogate variable analysis.
smartsva.cpp
Fast and efficient surrogate variable analysis accelerated...

Files in this package

SmartSVA
SmartSVA/src
SmartSVA/src/functions.cpp
SmartSVA/src/RcppExports.cpp
SmartSVA/NAMESPACE
SmartSVA/R
SmartSVA/R/SmartSVA.R
SmartSVA/R/RcppExports.R
SmartSVA/MD5
SmartSVA/DESCRIPTION
SmartSVA/man
SmartSVA/man/smartsva.cpp.Rd
SmartSVA/man/smartsva.Rd